Modulation of novel immune checkpoint targets

ABSTRACT

Dysfunctional or exhausted T cells arise in chronic diseases including chronic viral infections and cancer, and express high levels of co-inhibitory receptors. Therapeutic blockade of these receptors has clinical efficacy in the treatment of cancer. While co-inhibitory receptors are co-expressed, the triggers that induce them and the transcriptional regulators that drive their co-expression have not been identified. The immunoregulatory cytokine IL-27 induces a gene module in T cells that includes several known co-inhibitory receptors (Tim-3, Lag-3, and TIGIT). The present invention provides a novel immunoregulatory network and novel cell surface molecules that have an inhibitory function in the tumor microenvironment. The present invention further provides the novel discovery that the transcription factors Prdm1 and c-Maf cooperatively regulate the expression of the co-inhibitory receptor module. This critical molecular circuit underlies the expression of co-inhibitory receptors such as ILT-3 in dysfunctional T cells and identifies novel regulators of T cell dysfunction.

CROSS REFERENCE TO RELATED APPLICATION

The present application is a U.S. National Stage Application of PCT/US2017/055625, filed on Oct. 6, 2017, which claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application No. 62/405,835, filed on Oct. 7, 2016, the contents of which are hereby incorporated by reference in its entirety.

FEDERAL FUNDING LEGEND

This invention was made with government support under grant numbers NS076410, A10562999, NS045937, A1039671, A1045757, A1073748, CA187975 and awarded by the National Institutes of Health. The government has certain rights in the invention.

FIELD OF THE INVENTION

The present disclosure relates to the modulation of T cell dysfunction and Th17 balance.

SEQUENCE LISTING

The instant application contains a Sequence Listing which has been submitted electronically in ASCII format and is hereby incorporated by reference in its entirety. Said ASCII copy, created on Dec. 13, 2017, is named 114203-1005_SL.txt and is 390,311 bytes in size.

BACKGROUND OF THE INVENTION

The following discussion is merely provided to aid the reader in understanding the disclosure and is not admitted to describe or constitute prior art thereto.

T cell dysfunction or exhaustion is a state of T cell differentiation that arises in chronic disease settings such as chronic viral infections and cancer. Dysfunctional T cells exhibit diverse deficits in effector functions, including impaired proliferative capacity, cytotoxicity, and production of pro-inflammatory cytokines (Pardoll, D. M. (2012) Nature reviews. Cancer 12, 252-264; Wherry and Kurachi, (2015) Nature reviews Immunology 15, 486-499). Consequently, dysfunctional T cells are poor mediators of both viral and tumor clearance. Dysfunctional T cells express high levels of co-inhibitory receptors, such as Programmed cell death 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), and blockade of these receptors is associated with recovery of effector T cell responses in multiple experimental models of chronic viral infection. Exhausted T cells have also been noted to be poor mediators of viral and/or tumor clearance and express high levels of co-inhibitory receptors, such as PD-1 and CTLA-4. Blockade of these receptors has been associated with the recovery of effector T cell responses in experimental models of chronic viral infection and cancer (Leach, D. R., et al., (1996) Science 271, 1734-1736; Barber, D. L. et al, (2006) Nature 439, 682-687; Mahoney et al., (2015) Nature reviews Drug discovery 14, 561-584; Wherry and Kurachi, 2015). Indeed, therapeutic blockade of CTLA-4 and PD-1 has been successfully translated to the clinic for the treatment several human cancers (Hodi, F. S. et al., (2010) The New England journal of medicine 363, 711-723; Robert, C. et al., (2011) The New England journal of medicine 364, 2517-2526, Hamid, O. et al., (2013) The New England journal of medicine 369, 134-144; Topalian et al., (2012) The New England journal of medicine 366, 2443-2454).

CTLA-4 and PD-1 are not the only co-inhibitory receptors that are expressed by dysfunctional T cells. In fact, as described herein, dysfunctional T cells express multiple co-inhibitory receptors including T-cell immunoglobulin and mucin-domain containing-3 (Tim-3), Lymphocyte-activation gene 3 (Lag-3), and T cell immunoreceptor with Ig and ITIM domains (TIGIT), indicating shared regulatory mechanisms driving their expression (Anderson et al., (2016) Immunity 44, 989-1004; Wherry and Kurachi, 2015). Importantly, as dysfunctional T cells accumulate expression of co-inhibitory receptors they develop a “deep” state of dysfunction and begin to produce IL-10, which further contributes to local immune suppression (Wherry, E. J. (2011) Nature immunology 12, 492-499). Thus, the co-expression of co-inhibitory receptors on dysfunctional T cells has important functional consequences. Indeed, combination therapies that simultaneously target multiple co-inhibitory pathways, such as CTLA-4 together with PD-1, or PD-1 together with TIM-3, LAG-3, or TIGIT, are more potent at restoring anti-tumor immunity than blockade of single co-inhibitory targets in both humans and in experimental mouse tumor models (Wolchok, J. D. et al. (2013) The New England journal of medicine 369, 122-133; Woo, S. R. et al. (2012) Cancer research 72, 917-927; Johnston, R. J. et al. (2014) Cancer cell 26, 923-937; Fourcade, J. et al. (2014) Cancer research 74, 1045-1055). Together these observations raise the important issue of understanding how co-inhibitory receptors are induced and co-regulated in exhausted or dysfunctional T cells.

The extent of co-inhibitory receptor co-expression is directly correlated to the severity of dysfunctional phenotype (Wherry and Kurachi, 2015). Thus, combination therapies that simultaneously target multiple co-inhibitory pathways, such as PD-1 together with CTLA-4 are more efficacious at restoring anti-tumor immunity than blockade of single co-inhibitory targets in both mouse tumor models and patients (Fourcade et al., 2014; Johnston et al., 2014; Sakuishi et al., (2010) The Journal of experimental medicine 207, 2187-2194; Wolchok et al., 2013; Woo et al., 2012). Unfortunately, even with combination therapy, a substantial number of patients fail to respond to immune checkpoint blockade, highlighting the importance of identifying additional co-inhibitory receptors that could be targeted for cancer immunotherapy. The present disclosure satisfies this need and provides related advantages as well.

The immune system must strike a balance between mounting proper responses to pathogens and avoiding uncontrolled, autoimmune reaction. Pro-inflammatory IL-17-producing Th17 cells are a prime case in point: as a part of the adaptive immune system, Th17 cells mediate clearance of fungal infections, but they are also strongly implicated in the pathogenesis of autoimmunity (Korn et al., 2009). In mice, although Th17 cells are present at sites of tissue inflammation and autoimmunity (Korn et al., 2009), they are also normally present at mucosal barrier sites, where they maintain barrier functions without inducing tissue inflammation (Blaschitz and Raffatellu, 2010). In humans, functionally distinct Th17 cells have been described; for instance, Th17 cells play a protective role in clearing different types of pathogens like Candida albicans (Hernandez-Santos and Gaffen, 2012) or Staphylococcus aureus (Lin et al., 2009), and promote barrier functions at the mucosal surfaces (Symons et al., 2012), despite their pro-inflammatory role in autoimmune diseases such as rheumatoid arthritis, multiple sclerosis, psoriasis systemic lupus erythematous and asthma (Waite and Skokos, 2012). Thus, there is considerable diversity in the biological function of Th17 cells and in their ability to induce tissue inflammation or provide tissue protection.

Accordingly, there exists a need for a better understanding of the dynamic regulatory network that modulates, controls, or otherwise influences T cell balance, including Th17 cell differentiation, maintenance and function, and means for exploiting this network in a variety of therapeutic and diagnostic methods.

Citation or identification of any document in this application is not an admission that such document is available as prior art to the present invention.

SUMMARY OF THE INVENTION

The co-expression and co-regulation of co-inhibitory receptors in dysfunctional T cells suggests that there might be a common trigger that induces them and common regulatory mechanisms that control their expression in dysfunctional T cells. If such common triggers and regulators exist, they may facilitate the development of more efficacious therapies that will simultaneously antagonize multiple co-inhibitory receptors. However, such common mechanisms have not been identified to date.

Applicants identified a compelling candidate for a common trigger: IL-27, a heterodimeric cytokine and a member of the IL-12 family of cytokines that is produced by antigen presenting cells. Although IL-27 was initially shown to promote pro-inflammatory Type 1 immune responses, emerging evidence suggests that this cytokine plays an important role in the resolution of tissue inflammation (Yoshida and Hunter, (2015) Annual review of immunology 33, 417-443). IL-27 administration in vivo suppresses the pathogenicity of primed effector T cells and inhibits the development of autoimmunity (Fitzgerald et al., (2007a) Journal of immunology 179, 3268-3275). Consistent with a suppressive function for IL-27, IL-27ra (WSX-1) deficient mice exhibit increased inflammation during Toxoplasma gondii infection and exacerbated disease in a model of central nervous system autoimmunity (Awasthi et al., (2007) Nature immunology 8, 1380-1389; Hirahara et al., (2012) Immunity 36, 1017-1030; Villarino et al., (2003) Immunity 19, 645-655). Indeed, Applicants (Awasthi et al., 2007) and others (Fitzgerald et al., 2007a; Stumhofer et al., (2007) Nature immunology 8, 1363-1371) have shown that exposure of naïve T cells to IL-27 induces IL-10-secreting Type 1 regulatory (Tr1) cells that are immune suppressive. Moreover, Applicants have recently shown that IL-27 induces Tim-3 (Zhu et al., (2015) Nature communications 6, 6072), which has been shown to cooperate with PD-1 in promoting a dysfunctional phenotype in T cells (Sakuishi et al., 2010).

Here, Applicants used a systems biology approach to find that IL-27 signaling drives the expression of a gene module that includes not only Tim-3, but also Lag-3, TIGIT, and IL-10, all molecules that are associated with T cell dysfunction. The IL-27-induced transcriptional module significantly overlaps with the gene signatures that define dysfunctional T cells in chronic viral infection and cancer, as well as with gene signatures associated with other suppressed or tolerant T cell states. Applicants further identify a number of novel molecules within the IL-27-induced gene module that mediate T cell dysfunction and can be modulated to improve anti-tumor T cell responses in vivo. Using network-based approaches, Applicants identify Prdm1 and c-Maf as key transcriptional regulators that cooperatively drive the inhibitory gene module. Finally, Applicants identify ILT-3 and novel ILT-3 ligands CD166, angiopoetins, and angiopoetin-like proteins as important co-stimulatory and co-inhibitory receptors of T cells. This work defines a new role for IL-27 signaling in immune regulation and uncovers the downstream regulatory network that drives the expression of an inhibitory gene module that sets the stage for the development of dysfunctional phenotype in effector T cells.

Accordingly, the methods and compositions described herein are based, in part, on the discovery of target gene(s) that are involved in T cell dysfunction, including but not limited to, T cell exhaustion and T cell non-responsiveness. Accordingly, provided herein are methods and compositions for modulating T cell dysfunction by modulating the expression, activity and/or function of at least one target gene or gene product, for example, the target genes listed herein in Table 1, Table 10, Table 11, Table 12, Table 13 or the pairs of target genes listed herein in Table 2, or any combination thereof.

In one aspect, provided herein is a method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of ILT-3.

In one embodiment of this aspect the T cell dysfunction is T cell exhaustion.

In another embodiment of this aspect the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

In another embodiment of this aspect the modulating agent promotes the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.

In another embodiment of this aspect the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

In another embodiment of this aspect the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In another embodiment of this aspect the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623.

In another embodiment of this aspect the modulating agent comprises a soluble variant of ILT-3.

In another embodiment of this aspect the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

In one aspect, provided herein is a method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of ILT-3 to a subject in need thereof.

In one embodiment of this aspect the condition is cancer or a persistent infection.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent promotes or activates the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.

In another embodiment of this aspect the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

In another embodiment of this aspect the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In another embodiment of this aspect the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623.

In another embodiment of this aspect the modulating agent comprises a soluble variant of ILT-3.

In another embodiment of this aspect the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

In one aspect, provided herein is a method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

In one embodiment of this aspect the sample is from an individual with cancer or a persistent infection.

In one aspect, provided herein is a method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein.

In another embodiment of this aspect the T cell dysfunction is T cell exhaustion.

In another embodiment of this aspect the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

In another embodiment of this aspect the modulating agent promotes the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

In another embodiment of this aspect the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In one aspect, provided herein is a method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein to a subject in need thereof.

In one embodiment of this aspect the condition is cancer or a persistent infection.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

In another embodiment of this aspect the modulating agent promotes or activates the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

In another embodiment of this aspect the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In one aspect, provided herein is a method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of an angiopoetin or angiopoietin-like protein, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

In one embodiment of this aspect the sample is from an individual with cancer or a persistent infection.

In some embodiments, the angiopoetin or angiopoetin-like protein is selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

In one aspect, provided herein is a method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of CD166.

In one embodiment of this aspect the T cell dysfunction is T cell exhaustion.

In another embodiment of this aspect the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

In another embodiment of this aspect the modulating agent promotes the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In one aspect, provided herein is a method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function CD166 to a subject in need thereof.

In one embodiment of this aspect the condition is cancer or a persistent infection.

In another embodiment of this aspect the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

In another embodiment of this aspect the modulating agent promotes or activates the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

In another embodiment of this aspect the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In another embodiment of this aspect the modulating agent comprises an antibody agent.

In one aspect, provided herein is a method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of CD166, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

In one embodiment of this aspect the sample is from an individual with cancer or a persistent infection.

In one aspect, provided herein is a method of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the T-cell dysfunction is T-cell exhaustion.

In another embodiment of this aspect and all other aspects provided herein, the modulation of T-cell exhaustion comprises a decrease in the exhausted T-cell phenotype, such that functional T-cell activity is increased.

In another embodiment of this aspect and all other aspects provided herein, the modulation of T-cell exhaustion comprises an increase in the exhausted T-cell phenotype, such that functional T-cell activity is decreased.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or gene product or a combination thereof is/are identified as participating in the inhibition of functional T-cell activity.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the selected target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the promotion of functional T-cell activity.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the selected target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the method further comprises contacting the dysfunctional T-cell with modulating agents that modulate the expression, activity and/or function of at least two target genes or gene products selected from the target genes listed in Table 1, Table 2, or any combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody or antigen-binding fragment thereof agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In another embodiment of this aspect and all other aspects provided herein, the methods can further comprise contacting the dysfunctional T-cell with an agent or treatment selected from the group consisting of a PD-1 inhibitor, CTLA4 inhibitor, chemotherapy, radiation therapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an activator or agonist for OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

Another aspect provided herein relates to a method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted or dysfunctional phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, or any combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the condition is cancer or a persistent infection.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, a selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody or antigen-binding fragment agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

Provided herein in another aspect is a pharmaceutical composition for modulating T cell dysfunction, the composition comprising a first modulating agent and a second modulating agent that modulate the expression, activity and/or function of two or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof.

Another aspect provided herein relates to a pharmaceutical composition for modulating T cell dysfunction, the composition comprising a first modulating agent that inhibits the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof and a second modulating agent that promotes the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof.

Also provided herein, in another aspect, is a pharmaceutical composition for modulating T cell dysfunction, the composition comprising a modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof and an agent selected from the group consisting of a PD-1 inhibitor, a CTLA4 inhibitor, chemotherapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R, and SLAMF7.

Also provided herein, in another aspect, are pharmaceutical compositions for modulating T cell dysfunction, the composition comprising at least one modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof. In another aspect, the pharmaceutical compositions comprise at least two modulating agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13 or any combination thereof.

Also provided herein, in another aspect, are pharmaceutical compositions for modulating T cell dysfunction, the composition comprising at least one modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, Table 9 or any combination thereof. In another aspect, the pharmaceutical compositions comprise at least two modulating agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, Table 9 or any combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the T cell dysfunction comprises T cell exhaustion.

In another embodiment of this aspect and all other aspects provided herein, the T cell exhaustion occurs in an individual with cancer or a persistent infection.

Another aspect provided herein relates to a pharmaceutical composition for modulating T cell dysfunction, the composition comprising an inhibitor of the expression and/or activity of PDPN, an inhibitor of the expression and/or activity of PROCR, or a combination thereof.

Also provided herein in another aspect is a pharmaceutical composition for modulating T cell dysfunction comprising: (a) an inhibitor of the expression and/or activity of PDPN and an inhibitor of the expression and/or activity of PROCR; and (b) an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1; and/or an activator of the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R, and SLAMF7.

Provided herein in another aspect is a pharmaceutical composition for modulating an IL-27-regulated co-inhibitory module comprising: (a) an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of PDPN, PROCR, TIGIT, LAG3, LILRB4, ALCAM, and KLRC1; and (b) an activator of the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7.

In one embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of TIM-3.

In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of PD-1.

In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of CTLA4.

In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of PD-1. In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of CTLA4. In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of CTLA4 and an inhibitor of the expression and/or activity of PD-1. In another embodiment of this aspect and all other aspects provided herein, the composition further comprises an inhibitor of the expression and/or activity of CTLA4, and an inhibitor of the expression and/or activity of PD-1 and an inhibitor of the expression and/or activity of TIM-3.

In another embodiment of this aspect and all other aspects provided herein, the inhibitors and activators are selected from an antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog.

In another embodiment of this aspect and all other aspects provided herein, the antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog is selected from: an anti-CTLA4 antibody, an anti-PD-1 antibody, or aPDL-1 antagonist. In certain embodiments, the antibody or antigen binding fragment thereof is selected from the group consisting of: nivolumab, pembrolizumab, lambrolizumab, ipilimumab, and atezolizumab.

Another aspect provided herein relates to a method of modulating an IL-27-regulated co-inhibitory module in a subject in need thereof, the method comprising administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of PDPN, an inhibitor of the expression and/or activity of PROCR, or a combination thereof.

An additional aspect provided herein relates to a method of modulating an IL-27-regulated co-inhibitory module in a subject in need thereof, the method comprising: (a) administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of PDPN, and an inhibitor of the expression and/or activity of PROCR; and (b) administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of an inhibitor of the expression and/or activity of TIGIT, LAG3, LILRB4, and KLRC1; and/or an activator of the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7.

Also provided herein in another aspect is a method of modulating an IL-27-regulated co-inhibitory module in a subject in need thereof, the method comprising: (a) administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of PDPN, PROCR, TIGIT, LAG3, LILRB4, ALCAM and KLRC1; and (b) administering a pharmaceutical composition comprising an activator the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7.

In one embodiment of this aspect and all other aspects provided herein, the method further comprises administering an inhibitor of the expression and/or activity of TIM-3.

In another embodiment of this aspect and all other aspects provided herein, the method further comprises administering an inhibitor of the expression and/or activity of PD-1.

In another embodiment of this aspect and all other aspects provided herein, the method further comprises administering an inhibitor of the expression and/or activity of CTLA-4.

In another embodiment of this aspect and all other aspects provided herein, the method further comprises administering an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of PD-1.

In another embodiment of this aspect and all other aspects provided herein, the inhibitors and activators are selected from an antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog.

In another embodiment of this aspect and all other aspects provided herein, the antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog is selected from the group consisting of: an anti-CTLA4 antibody, an anti-PD-1 antibody, or aPDL-1 antagonist. In certain embodiments, the antibody or antigen binding fragment thereof is selected from the group consisting of: nivolumab, pembrolizumab, lambrolizumab, ipilimumab, and atezolizumab.

In another embodiment of this aspect and all other aspects provided herein, the subject in need thereof has a disease or disorder characterized by T-cell exhaustion.

In another embodiment of this aspect and all other aspects provided herein, the subject in need thereof is diagnosed or has been diagnosed as having a cancer or tumor.

In another embodiment of this aspect and all other aspects provided herein, the subject in need thereof is diagnosed or has been diagnosed as having a chronic or persistent infection.

Also provided herein in another aspect is a method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the group consisting of: the subset of genes listed in Table 5, the subset of genes listed in Table 6, the subset of genes listed in Table 7, the subset of genes listed in Table 8, and the subset of genes listed in Table 9.

In one embodiment of this aspect and all other aspects provided herein, the T cell dysfunction is T cell exhaustion.

In another embodiment of this aspect and all other aspects provided herein, the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

In another embodiment of this aspect and all other aspects provided herein, the modulation of T cell exhaustion comprises an increase in the exhausted T cell phenotype, such that T cell activation is decreased.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

Also provided herein in another aspect is a method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the group consisting of: the subset of genes listed in Table 5, the subset of genes listed in Table 6, the subset of genes listed in Table 7, the subset of genes listed in Table 8, and the subset of genes listed in Table 9.

In one embodiment of this aspect and all other aspects provided herein, the condition is cancer or a persistent infection.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

In another embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

Another aspect provided herein relates to a method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of one or more genes or expression products thereof selected from the target genes listed in Table 1, Table 2 or any combination thereof, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

In one embodiment of this aspect and all other aspects provided herein, the sample is from an individual with cancer or a persistent infection.

In some aspects, provided herein are methods of treating a disease or disorder characterized by aberrant or unwanted T-cell functional activity in a subject in need thereof, the method comprising administering a therapeutically effective amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, or any combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the disease or disorder is an autoimmune disease or graft vs. host disease.

In one embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation and the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In another embodiment of this aspect and all other aspects provided herein, the selected target gene(s) is/are identified as participating in the promotion of T cell activation and the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In some aspects, provided herein are methods of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5. In one embodiment of this aspect and all other aspects provided herein, two or more target genes or gene products thereof selected from the target genes listed in Table 5 are modulated.

In some aspects, provided herein are methods of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 6. In one embodiment of this aspect and all other aspects provided herein, two or more target genes or gene products thereof selected from the target genes listed in Table 6 are modulated.

In some aspects, provided herein are methods of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 7. In one embodiment of this aspect and all other aspects provided herein, two or more target genes or gene products thereof selected from the target genes listed in Table 7 are modulated.

In some aspects, provided herein are methods of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 8. In one embodiment of this aspect and all other aspects provided herein, two or more target genes or gene products thereof selected from the target genes listed in Table 8 are modulated.

In some aspects, provided herein are methods of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 9. In one embodiment of this aspect and all other aspects provided herein, two or more target genes or gene products thereof selected from the target genes listed in Table 9 are modulated.

In one embodiment of this aspect and all other aspects provided herein, the T-cell dysfunction is T-cell exhaustion.

In one embodiment of this aspect and all other aspects provided herein, the modulation of T-cell exhaustion comprises a decrease in the exhausted T-cell phenotype, such that functional T-cell activity is increased.

In another embodiment of this aspect and all other aspects provided herein, the modulation of T cell exhaustion comprises an increase in the exhausted T cell phenotype, such that T cell activation is decreased.

In one embodiment of this aspect and all other aspects provided herein, the selected target gene or gene product or a combination thereof is/are identified as participating in the inhibition of functional T-cell activity.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the selected target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the promotion of functional T-cell activity.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the selected target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In one embodiment of this aspect and all other aspects provided herein, the method further comprises contacting the dysfunctional T-cell with an agent or treatment selected from the group consisting of a PD-1 inhibitor, a CTLA4 inhibitor, chemotherapy, radiation therapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

Also provided herein in another aspect is method of treating a condition involving or characterized by the presence of T cells exhibiting a dysfunctional or exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

In one embodiment of this aspect and all other aspects provided herein, the condition is cancer or a persistent infection.

In one embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

In one embodiment of this aspect and all other aspects provided herein, the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

In some aspects, provided herein are pharmaceutical compositions for modulating T cell dysfunction, the composition comprising a first modulating agent and a second modulating agent that modulate the expression, activity and/or function of two or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

In some aspects, provided herein are pharmaceutical compositions for modulating T cell dysfunction, the composition comprising a first modulating agent that inhibits the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9 and a second modulating agent that promotes the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an altered expression or activity of at least one gene listed in Table 1 or Table 2. The immune cell may be a T cell, preferably a CD8+ T cell. In preferred embodiments, the immune cell is a CD8+ T cell. The immune cell may display tumor specificity. The immune cell may have been isolated from a tumor of a subject, preferably the immune cell is a tumor infiltrating lymphocyte. The immune cell may comprise a tumor-specific T cell receptor or a tumor-specific chimeric antigen receptor (CAR). Not being bound by a theory, modulation of expression or activity results in a more activated or less dysfunctional T cell. Not being bound by a theory, dysfunctional autologous T cells may be used for generating a CAR T cell. Alternatively, non-dysfunctional T cells may be used to generate CAR T cells that are modified to prevent them from becoming dysfunctional. The isolated immune cell may be modified to comprise downregulated or abolished expression or activity of at least one gene listed in Table 1 or Table 2. An endogenous gene may be modified, whereby the cell comprises downregulated or abolished expression or activity of at least one gene listed in Table 1 or Table 2. The endogenous gene may be modified using a nuclease. The nuclease may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous sequence of at least one gene listed in Table 1 or Table 2 and (ii) a DNA cleavage portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein. The DNA cleavage portion may comprise FokI or variant thereof or DNA cleavage domain of FokI or variant thereof. The nuclease may be an RNA-guided nuclease, such as a Cas protein. The cell may comprise a protein comprising a DNA-binding portion configured to specifically bind to at least one gene listed in Table 1 or Table 2. The protein may be a heterologous repressor protein capable of repressing the transcription of at least one gene listed in Table 1 or Table 2. The heterologous repressor protein may comprise at least a DNA-binding portion configured to specifically bind to at least one gene listed in Table 1 or Table 2, preferably to the endogenous promoter of the gene. The heterologous repressor protein may comprise (i) a DNA-binding portion configured to specifically bind to at least one gene listed in Table 1 or Table 2, preferably to the endogenous promoter of the gene, and (ii) a transcription repression portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, TALE protein or DNA-binding domain thereof, or RNA-guided nuclease protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an agent capable of inducibly altering expression or activity of at least one gene listed in Table 1 or Table 2. The agent may comprise: a nuclease capable of modifying at least one gene listed in Table 1 or Table 2, such as to downregulate or abolish expression of the gene, such as the nuclease as defined in any embodiment herein; or a heterologous repressor protein capable of repressing the transcription of the gene, such as the heterologous repressor protein as defined in any any embodiment herein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an altered expression or activity of PDPN. The immune cell may be a T cell, preferably a CD8+ T cell. In preferred embodiments, the immune cell is a CD8+ T cell. The immune cell may display tumor specificity. The immune cell may have been isolated from a tumor of a subject, preferably the immune cell is a tumor infiltrating lymphocyte. The immune cell may comprise a tumor-specific T cell receptor or a tumor-specific chimeric antigen receptor (CAR). Not being bound by a theory, modulation of expression or activity results in a more activated or less dysfunctional T cell. Not being bound by a theory, dysfunctional autologous T cells may be used for generating a CAR T cell. Alternatively, non-dysfunctional T cells may be used to generate CAR T cells that are modified to prevent them from becoming dysfunctional. The isolated immune cell may be modified to comprise downregulated or abolished expression or activity of PDPN. The endogenous PDPN gene may be modified, whereby the cell comprises downregulated or abolished expression or activity of PDPN. The endogenous PDPN gene may be modified using a nuclease. The nuclease may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PDPN gene and (ii) a DNA cleavage portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein. The DNA cleavage portion may comprise FokI or variant thereof or DNA cleavage domain of FokI or variant thereof. The nuclease may be an RNA-guided nuclease, such as a Cas protein. The cell may comprise a protein comprising a DNA-binding portion configured to specifically bind to the endogenous PDPN gene. The protein may be a heterologous repressor protein capable of repressing the transcription of the endogenous PDPN gene. The heterologous repressor protein may comprise at least a DNA-binding portion configured to specifically bind to the endogenous PDPN gene, preferably to the endogenous PDPN gene promoter. The heterologous repressor protein may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PDPN gene, preferably to the endogenous PDPN gene promoter, and (ii) a transcription repression portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, TALE protein or DNA-binding domain thereof, or RNA-guided nuclease protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an agent capable of inducibly altering expression or activity of PDPN. The agent may comprise: a nuclease capable of modifying the endogenous PDPN gene, such as to downregulate or abolish expression of PDPN, such as the nuclease as defined in any embodiment herein; or a heterologous repressor protein capable of repressing the transcription of the endogenous PDPN gene, such as the heterologous repressor protein as defined in any any embodiment herein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an altered expression or activity of PRDM1 and/or c-MAF. The immune cell may be a T cell, preferably a CD8+ T cell. In preferred embodiments, the immune cell is a CD8+ T cell. The immune cell may display tumor specificity. The immune cell may have been isolated from a tumor of a subject, preferably the immune cell is a tumor infiltrating lymphocyte. The immune cell may comprise a tumor-specific chimeric antigen receptor (CAR). Not being bound by a theory, modulation of expression or activity results in a more activated or less dysfunctional T cell. Not being bound by a theory, dysfunctional autologous T cells may be used for generating a CAR T cell. Alternatively, non-dysfunctional T cells may be used to generate CAR T cells that are modified to prevent them from becoming dysfunctional. The isolated immune cell may be modified to comprise downregulated or abolished expression or activity of PRDM1 and/or c-MAF. The endogenous PRDM1 and c-MAF gene may be modified, whereby the cell comprises downregulated or abolished expression or activity of PRDM1 and/or c-MAF. Preferably, the cell comprises downregulated or abolished expression or activity of PRDM1 and c-MAF.

Alternatively, the endogenous PRDM1 and c-MAF genes may be modified, whereby the cell comprises upregulated expression or activity of PRDM1 and/or c-MAF. Alternatively, expression or activity may be modified by introducing a transgene. Not being bound by a theory, providing an immune cell with abolished expression or activity of both PRDM1 and c-MAF results in decreasing a dysfunctional phenotype of the immune cell or renders the immune cell more resistant to becoming dysfunctional, whereas a dysfunctional phenotype is not affected when only one of PRDM1 or c-MAF has abolished expression or activity. Not being bound by a theory, providing an immune cell with increased expression or activity of either one of or both of PRDM1 and/or c-MAF results in increasing a dysfunctional phenotype of the immune cell.

The endogenous PRDM1 and c-MAF genes may be modified using a nuclease. The nuclease may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PRDM1 and/or c-MAF gene and (ii) a DNA cleavage portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein. The DNA cleavage portion may comprise FokI or variant thereof or DNA cleavage domain of FokI or variant thereof. The nuclease may be an RNA-guided nuclease, such as a Cas protein. More than one guide RNA may be used to target PRDM1 and/or c-MAF. In certain embodiments, multiple guides target each gene. The cell may comprise a protein comprising a DNA-binding portion configured to specifically bind to the endogenous PRDM1 and/or c-MAF gene. The protein may be a heterologous repressor protein capable of repressing the transcription of the endogenous PRDM1 and/or c-MAF gene. The heterologous repressor protein may comprise at least a DNA-binding portion configured to specifically bind to the endogenous PRDM1 and/or c-MAF gene, preferably to the endogenous PRDM1 and/or c-MAF gene promoter. The heterologous repressor protein may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PRDM1 and/or c-MAF gene, preferably to the endogenous PRDM1 and/or c-MAF gene promoter, and (ii) a transcription repression portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, TALE protein or DNA-binding domain thereof, or RNA-guided nuclease protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an agent capable of inducibly altering expression or activity of PRDM1 and/or c-MAF. The agent may comprise: a nuclease capable of modifying the endogenous PRDM1 and/or c-MAF gene, such as to downregulate or abolish expression of PRDM1 and c-MAF, such as the nuclease as defined in any embodiment herein; or a heterologous repressor protein capable of repressing the transcription of the endogenous PRDM1 and c-MAF gene, such as the heterologous repressor protein as defined in any any embodiment herein. The agent may comprise more than one nuclease. In certain embodiments, the agent comprises more than one TALE or zinc finger protein, whereby one TALE or Zinc finger targets PRDM1 and one targets c-MAF. In other embodiments, the agent comprises more than two nucleases, capable of targeting multiple genes. In certain embodiments, a CRISPR-Cas system is used and multiple guide RNAs are used to target the CRISPR enzyme to multiple gene targets.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an altered expression or activity of PROCR. The immune cell may be a T cell, preferably a CD8+ T cell. In preferred embodiments, the immune cell is a CD8+ T cell. The immune cell may display tumor specificity. The immune cell may have been isolated from a tumor of a subject, preferably the immune cell is a tumor infiltrating lymphocyte. The immune cell may comprise a tumor-specific chimeric antigen receptor (CAR). Not being bound by a theory, modulation of expression or activity results in a more activated or less dysfunctional T cell. Not being bound by a theory, dysfunctional autologous T cells may be used for generating a CAR T cell. Alternatively, non-dysfunctional T cells may be used to generate CAR T cells that are modified to prevent them from becoming dysfunctional. The isolated immune cell may be modified to comprise downregulated or abolished expression or activity of PROCR. The endogenous PROCR gene may be modified, whereby the cell comprises downregulated or abolished expression or activity of PROCR. The endogenous PROCR gene may be modified using a nuclease. The nuclease may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PROCR gene and (ii) a DNA cleavage portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein. The DNA cleavage portion may comprise FokI or variant thereof or DNA cleavage domain of FokI or variant thereof. The nuclease may be an RNA-guided nuclease, such as a Cas protein. The cell may comprise a protein comprising a DNA-binding portion configured to specifically bind to the endogenous PROCR gene. The protein may be a heterologous repressor protein capable of repressing the transcription of the endogenous PROCR gene. The heterologous repressor protein may comprise at least a DNA-binding portion configured to specifically bind to the endogenous PROCR gene, preferably to the endogenous PROCR gene promoter. The heterologous repressor protein may comprise (i) a DNA-binding portion configured to specifically bind to the endogenous PROCR gene, preferably to the endogenous PROCR gene promoter, and (ii) a transcription repression portion. The DNA-binding portion may comprise a zinc finger protein or DNA-binding domain thereof, TALE protein or DNA-binding domain thereof, or RNA-guided nuclease protein or DNA-binding domain thereof. The DNA-binding portion may comprise (i) a Cas protein modified to eliminate its nuclease activity, or (ii) DNA-binding domain of a Cas protein.

In another aspect, the present invention provides for an isolated immune cell modified to comprise an agent capable of inducibly altering expression or activity of PROCR. The agent may comprise: a nuclease capable of modifying the endogenous PROCR gene, such as to downregulate or abolish expression of PROCR, such as the nuclease as defined in any embodiment herein; or a heterologous repressor protein capable of repressing the transcription of the endogenous PROCR gene, such as the heterologous repressor protein as defined in any any embodiment herein.

The isolated immune cell according to any embodiment described herein, may be further modified to comprise: an altered expression or activity of PDPN; an altered expression or activity of PRDM1 and/or c-MAF; an altered expression or activity of PROCR; an altered expression or activity of any one or more of PD1, CTLA4, TIGIT, TIM3, LAG3, or PDL1; an altered expression or activity of any one or more of TIGIT, LAG3, LILRB4, or KLRC1; an altered expression or activity of any one or more of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, or SLAMF7; an altered expression or activity of any one or more of PDPN, PROCR, TIGIT, LAG3, LILRB4, ALCAM or KLRC1; an altered expression or activity of any one or more of BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, LILRB4, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, or SLAMF7; an agent capable of inducibly altering expression or activity of PDPN; an agent capable of inducibly altering expression or activity of PRDM1 and c-MAF; an agent capable of inducibly altering expression or activity of PROCR; an agent capable of inducibly altering expression or activity of any one or more of PD1, CTLA4, TIGIT, TIM3, LAG3, or PDL1; an agent capable of inducibly altering expression or activity of any one or more of TIGIT, LAG3, LILRB4, or KLRC1; an agent capable of inducibly altering expression or activity of any one or more of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, or SLAMF7; an agent capable of inducibly altering expression or activity of any one or more of PDPN, PROCR, TIGIT, LAG3, LILRB4, ALCAM or KLRC1; or an agent capable of inducibly altering expression or activity of any one or more of BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, LILRB4, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, or SLAMF7. The agent may comprise more than one nuclease. In certain embodiments, the agent comprises more than one TALE or zinc finger protein, whereby one TALE or Zinc finger targets one gene and one targets another gene. In other embodiments, the agent comprises more than two nucleases, capable of targeting multiple genes. In certain embodiments, a CRISPR-Cas system is used and multiple guide RNAs are used to target the CRISPR enzyme to multiple gene targets.

In another aspect, the present invention provides for a cell population of immune cells as defined in any embodiment herein.

In another aspect, the present invention provides for a method for generating the modified immune cell of any embodiment described herein, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an altered expression or activity of PDPN, PROCR, or PRDM1 and/or c-MAF, preferably PRDM1 and c-MAF.

In another aspect, the present invention provides for a method for generating the modified immune cell of any embodiment described herein, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an agent capable of inducibly altering expression or activity of PDPN, PROCR, or PRDM1 and c-MAF.

In certain embodiments, the step of providing the isolated immune cell comprises providing the immune cell isolated from a subject, or isolating the immune cell from a subject. The immune cell isolated from the subject preferably expresses PDPN, PROCR, and/or PRDM1 and c-MAF. The immune cell isolated from the subject may be dysfunctional or may be not dysfunctional. Not being bound by a theory, a dysfunctional cell may be modulated to have an activation phenotype and a nondysfunctional cell may be modulated to have an enhanced activation phenotype. The immune cell isolated from the subject may expresses a signature of dysfunction as defined herein. The method may further comprise the step of expanding the isolated immune cell prior to and/or subsequent to the modification.

In another aspect, the present invention provides for a pharmaceutical composition comprising the isolated immune cell or the cell population according to any embodiment described herein. The isolated immune cell or the cell population may be for use in therapy. The isolated immune cell or the cell population may be for use in immunotherapy or adoptive immunotherapy, preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection. The isolated immune cell or cell population may be for use according in a subject, wherein the subject has been determined to comprise immune cells which: express PDPN, PROCR and/or PRDM1 and/or c-MAF, preferably PRDM1 and c-MAF; are dysfunctional, or are not dysfunctional; or express a signature of dysfunction as defined herein.

In another aspect, the present invention provides for a method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic or persistent infection, such as a chronic viral infection, comprising administering to said subject the isolated immune cell or the cell population of any embodiment described herein. The method may further comprise administering to said subject one or more other active pharmaceutical ingredient, preferably wherein said one or more other active pharmaceutical ingredient is useful in immunotherapy or adoptive immunotherapy, or wherein said one or more other active pharmaceutical ingredient is useful in the treatment of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection. The one or more other active pharmaceutical ingredient may be: an agonist of a cell molecule, such as a cell surface molecule, which when activated is capable of upregulating immune response, such as one or more of an agonist of 4-1BB, an agonist of OX40, an agonist of GITR, an agonist of STING, an agonist of TLR, or an agonist of BTLA; and/or an inhibitor of a cell molecule, such as a cell surface molecule, which when not inhibited is capable of downregulating immune response, such as a checkpoint inhibitor, or such as one or more of an antagonist of PD1, an antagonist of CTLA4, an antagonist of BTLA, an antagonist of TIGIT, an antagonist of TIM3, an antagonist of LAG3, an antagonist of VISTA, an antagonist of LILRB4, an antagonist of CD160, an antagonist of CD274, or an antagonist of IDO. The subject may comprise immune cells which: express PDPN, PROCR, PRDM1 and/or c-MAF; are dysfunctional, or are not dysfunctional; or express a signature of dysfunction as defined herein. Non-limiting examples on immuntherapeutics that may be used in the claimed methods or in conjunction with the claimed compositions include IMP321, BMS-986016, LAG525, TSR022, MTIG7192A, TRX518, INCAGN01876, GWN323, MEDI1873, MEDI9447, PF-05082566 (utomilumab), BMS-663513 (urelumab), MOXR0916, MEDI6469, MEDI6383, PF04518600, KHK4083, and combinations of two or more thereof.

In another aspect, the present invention provides for a method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, comprising: providing an isolated immune cell from the subject, or isolating an immune cell from a subject; modifying said isolated immune cell such as to comprise an altered expression or activity of PDPN, PROCR, and/or PRDM1 and/or c-MAF, or modifying said isolated immune cell such as to comprise an agent capable of inducibly altering expression or activity of PDPN, PROCR, and/or PRDM1 and c-MAF; and reintroducing the modified isolated immune cell to the subject. The immune cell isolated from the subject: may express PDPN, PROCR, and/or PRDM1 and c-MAF; may be dysfunctional or is not dysfunctional; or may express a signature of dysfunction as defined herein. The method may further comprise the step of expanding the isolated immune cell prior to and/or subsequent to the modification, and before reintroduction to the subject. The subject may additionally be treated with known immunotherapies, including but not limited to, IMP321, BMS-986016, LAG525, TSR022, MTIG7192A, TRX518, INCAGN01876, GWN323, MEDI1873, MEDI9447, PF-05082566 (utomilumab), BMS-663513 (urelumab), MOXR0916, MEDI6469, MEDI6383, PF04518600, KHK4083, and combinations of two or more thereof.

In another aspect, the present invention provides for a method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of Abca1, Adam8, Adam9, Alcam, Ccl5, Ccl9, Ccl9, Ccl9, Ccr2, Ccr5, Cd68, Cd93, Cxcl10, Cysltr2, Ddr1, Entpd1, Entpd1, Epcam, Gabarapl1, Gcnt1, Gpr65, Havcr2, Ifitm1, Ifitm3, Il10, Il10ra, Il12rb1, Il13ra1, Il1r1, Il1r2, Il21, Il2ra, Il2rb, Il133, Il6st, Inhba, Isg20, Klrc2, Klrc2, Klrc2, Klrc2, Klrc2, Klrc2, Klrd1, Klrk1, Lag3, Lamp2, Lpar3, Ly75, Ly75, Nampt, Olfm1, Pdpn, Pglyrp1, Procr, Pstpip1, Ptpn3, Sdc1, Sdc4, Selp, Sema7a, Slamf7, Spp1, Tgfb3, Tigit, Tnfrsf8, Tnfsf9, Vldlr, Bst2, Btla, Ccl1, Ccr4, Cd226, Cd40lg, Cd83, Cd8a, Csf2, Cxcl13, Cxcr4, Ifitm3, Isg20, Lap3, Lif, Serpinc1, Timp2, Tnfsfl1, Acvr11, Ada, Are, Bmp2, Bmpr1a, cc122, Ccr6, Ccr8, Cd160, Cd200r4, Cd24a, Cd70, Cd74, Cmtm7, Csf1, Ctla2a, Ctla2b, Ctsd, Ctsl, Dlk1, Enpep, Enpp1, Eps8, F2r, Fgf2, Flt31, H2-Ab1, Hspb1, Ifngr1, Il112rb2, Il18, Il18r1, Il18rap, Il2, Il24, Il27ra, Il4, Il4ra, Il7r, Itga4, Itga7, Itga9, Klrc1, Klre1, Lpar2, Lta, Ly6a, Ly6e, Nlgn2, Nrp1, Flt3l, H2-Ab2, Hspb2, Ifngr2, Il12rb3, Il19, Il18r2, Il18rap, Il46, Il168, Il27ra, Il5, Smpd1, Tgdb3, Tirap, Tnfrsfl3c, Tnfrsf23, Tnfsf10, Tnfsf4, Treml2, Trpc1, Trpm4, Tspan32, and Xcl1; or selected from the group consisting of ABCA1, ADAM8, ADAM9, ALCAM, CCL5, CCL15, CCL23, CCL15-CCL14, CCR2, CCR2, CD68, CD93, CXCL10, CYSLTR2, DDR1, ENTPD1, EPCAM, GABARAPL1, GCNT1, GPR65, HAVCR2, IFITM1, IFITM1, IL10, IL10RA, IL12RB1, IL13RA1, IL1R1, IL1R2, IL21, IL2RA, IL2RB, IL33, IL6ST, INHBA, ISG20, KLRC4-KLRK1, KLRC4, KLRC1, KLRC3, KLRC2, KLRD1, KLRK1, LAG3, LAMP2, LPAR3, LY75-CD302, LY75, NAMPT, OLFM1, PDPN, PGLYRP1, PROCR, PSTPIP1, PTPN3, SDC1, SDC4, SELP, SEMA7A, SLAMF7, SPP1, TGFB3, TIGIT, TNFRSF8, TNFSF9, VLDLR, BST2, BTLA, CCL1, CCR4, CD226, CD40LG, CD83, CD8A, CSF2, CXCL13, CXCR4, IFITM1, ISG20, LAP3, LIF, SERPINC1, TIMP2, TNFSF11, ACVRL1, ADA, BMPR1A, CCR5, CD160, CD24, CMTM7, CSF1, CTSD, CTSL1, CYSLTR2, ENPP1, EPS8, F2R, FLT3LG, HSPB1, IFNGR1, IL18, IL18R1, IL18RAP, IL24, IL24, IL27RA, IL27RA, IL4R, IL7R, ITGA4, ITGA7, LY6E, NLGN2, NRP1, OSM, PDE4B, PEAR1, PLXNC1, PRNP, PRNP, PRNP, PTPRJ, S1PR1, SDC1, SELL, SEMA4D, SERPINE2, SERPINE2, SMPD1, TIRAP, TNFSF10, TRPC1, TRPM4, and XCL1.

In another aspect, the present invention provides for a method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of ABCA1, ADAM8, ADAM9, ALCAM, CCL5, CCL9, CCR2, CCR5, CD68, CD93, CTLA2A, CXCL10, CYSLTR2, ENTPD1, EPCAM, GABARAPL1, GCNT1, GPR65, HAVCR2, IFITM1, IFITM3, IL10IL10RA, IL12RB1, IL13RA1, IL1R1, IL1R2, IL21, IL2RA, IL2RB, IL33, IL6ST, INHBA, ISG20, KLRC2, KLRD1, KLRE1, KLRK1, LAG3, LAMP2, LILRB4, LPAR3, LY75, NAMPT, OLFM1, PDPN, PGLYRP1, PROCR, PSTPIP1, PTPN3, SDC1, SDC4, SELP, SEMA7A, SLAMF7, SPP1, TGFB3, TIGIT, TNFRSF8, TNFSF9, and VLDLR.

In another aspect, the present invention provides for a method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of IL33, KLRC2, KLRD1, KLRE1, OLFM1, PDPN, PTPN3, SDC1, TNFSF9, VLDLR, PROCR, GABARAPL1, SPP1, ADAM8, LPAR3, CCL9, CXCL10, CCR2, IL10RA, IL2RB, CD68, KLRK1, IL12RB2, IL6ST, IL7R, INHBA, ISG20, LAMP2, LY75, NAMPT, S1PR1, IL21, IL13RA1, TIGIT, CCR5, ALCAM, HAVCR2, LAG3, IL1R2, CYSLTR2, ENTPD1, GCNT1, IFITM3, IL2RA, PGLYRP1, CD93, ADAM9, LILRB4, IL-10, CTLA2A, and GPR65.

Any of the signatures described herein may comprise at least two markers, or at least three markers, or at least four markers, or at least five markers, or six or more markers, such as wherein the signature consists of two markers, three markers, four markers, or five markers. Any of the signatures described herein may comprise two or more markers, and wherein: one of said two or more markers is PDPN; one of said two or more markers is PROCR; or two of said two or more markers are PDPN and PROCR.

In another aspect, the present invention provides for a method of isolating a dysfunctional immune cell comprising binding of an affinity ligand to a signature gene as defined in any embodiment herein, wherein the signature gene is expressed on the surface of the immune cell.

In another aspect, the present invention provides for a method of modulating Th17 T cell balance, the method comprising contacting a CD4 T cell with a modulating agent or agents that modulate the expression, activity and/or function of ILT-3. The CD4 T cell may be a Th17 T cell or naïve T cell. Modulating Th17 T cell balance may comprise a decrease in the Th17 T cell phenotype. Modulating Th17 T cell balance may comprise an increase in the Th17 T cell pathogenic phenotype. The modulating agent may promote the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof, whereby Th17 T cells are shifted to a pathogenic Th17 phenotype. The modulating agent may inhibit the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof, whereby Th17 T cells are shifted away from a Th17 phenotype. The Th17 T cells may be shifted to a Treg phenotype.

In certain embodiments, the modulating agent may inhibit binding of ILT-3 to one or more ILT-3 ligands. The one or more ILT-3 ligands may be selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

In certain embodiments, the modulating agent may comprise a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent. The modulating agent may comprise an antibody agent. The antibody agent may comprise a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623. The modulating agent may comprise a soluble variant of ILT-3. The soluble variant of ILT-3 may comprise a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

In another aspect, the present invention provides for a method of treating an autoimmune disease comprising administering an amount of a modulating agent effective to decrease the expression, activity and/or function of ILT-3 to a subject in need thereof. The autoimmune disease may be multiple sclerosis (MS).

In another aspect, the present invention provides for a method of treating cancer or a chronic infection comprising administering an amount of a modulating agent effective to increase the expression, activity and/or function of ILT-3 to a subject in need thereof.

In certain embodiments, the modulating agent effective to increase the activity and/or function of ILT-3 may comprise one or more ILT-3 ligands. In certain embodiments, the modulating agent effective to decrease the activity and/or function of ILT-3 inhibits binding of ILT-3 to one or more ILT-3 ligands. The one or more ILT-3 ligands may be selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

In certain embodiments, the agent may comprise a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent. The modulating agent may comprise an antibody agent. The antibody agent may comprise a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623. The modulating agent may comprise a soluble variant of ILT-3. The soluble variant of ILT-3 may comprise a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

In another aspect, the present invention provides for a method of determining the presence of pathogenic Th17 T cells, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of pathogenic Th17 T cells. The sample may be from an individual with cancer, a chronic infection, or an autoimmune disease.

In another aspect, the present invention provides for a method of modulating Th17 T cell balance, the method comprising contacting a CD4 T cell with a modulating agent or agents that modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein. The modulating agent may promote the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof. The modulating agent may inhibit the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof. The modulating agent may comprise a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent. The modulating agent may comprise an antibody agent.

In another aspect, the present invention provides for a method of determining the presence of pathogenic Th17 T cells, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of pathogenic Th17 T cells. The sample may be from an individual with cancer, a chronic infection, or an autoimmune disease.

In another aspect, the present invention provides for a kit of parts comprising means for detection of the signature of dysfunction as defined in any embodiment herein.

Accordingly, it is an object of the invention not to encompass within the invention any previously known product, process of making the product, or method of using the product such that Applicants reserve the right and hereby disclose a disclaimer of any previously known product, process, or method. It is further noted that the invention does not intend to encompass within the scope of the invention any product, process, or making of the product or method of using the product, which does not meet the written description and enablement requirements of the USPTO (35 U.S.C. § 112, first paragraph) or the EPO (Article 83 of the EPC), such that Applicants reserve the right and hereby disclose a disclaimer of any previously described product, process of making the product, or method of using the product. It may be advantageous in the practice of the invention to be in compliance with Art. 53(c) EPC and Rule 28(b) and (c) EPC. All rights to explicitly disclaim any embodiments that are the subject of any granted patent(s) of applicant in the lineage of this application or in any other lineage or in any prior filed application of any third party is explicitly reserved Nothing herein is to be construed as a promise.

It is noted that in this disclosure and particularly in the claims and/or paragraphs, terms such as “comprises”, “comprised”, “comprising” and the like can have the meaning attributed to it in U.S. Patent law; e.g., they can mean “includes”, “included”, “including”, and the like; and that terms such as “consisting essentially of” and “consists essentially of” have the meaning ascribed to them in U.S. Patent law, e.g., they allow for elements not explicitly recited, but exclude elements that are found in the prior art or that affect a basic or novel characteristic of the invention.

These and other embodiments are disclosed or are obvious from and encompassed by, the following Detailed Description.

BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.

The following detailed description, given by way of example, but not intended to limit the invention solely to the specific embodiments described, may best be understood in conjunction with the accompanying drawings.

FIG. 1A-1M. illustrates that IL-27 induces multiple co-inhibitory receptors on CD4⁺ and CD8⁺ T cells. CD4⁺ and CD8⁺ tumor-infiltrating lymphocytes (TILs) harvested from wild type (WT) mice bearing B16F10 melanoma tumors. FIG. 1A) Naïve T cells from either WT or IL-27ra deficient mice (IL27ra KO) were stimulated with anti-CD3/CD28 in the presence or absence of IL-27 as indicated. Expression of the indicated co-inhibitory molecules was examined by real-time PCR at 96 hr (CD4) and 72 hr (CD8), n≥3, error bars indicate s.e.m. FIG. 1B) Surface expression of co-inhibitory receptors on T cells stimulated as in (A) was determined by flow cytometry. Representative data are shown. FIG. 1C) Co-expression analysis of co-inhibitory and co-stimulatory receptor mRNA expression as determined by single cell RNAseq (316 and 516 for CD4⁺ and CD8⁺ respectively). For visualization purposes negative correlation values were set to zero. FIG. 1D) Protein expression by CyTOF for 23,656 CD4⁺ and 36,486 CD8⁺ TILs. Co-expression was analyzed using Spearman correlation. For visualization purposes negative correlation values were set to zero. FIG. 1E) TILs were harvested from WT and IL27ra KO mice bearing B16F10 melanoma and analyzed using CyTOF. CyTOF data were analyzed using vi-SNE. Polygons indicating clusters 1, 2 (in CD8⁺ T cells), 3 and 4 (in CD4⁺ T cells) are shown. FIG. 1F) The within groups sum of squared error (SSE) plot. The location of the elbow or a bend in the resulting plot suggests a suitable number of clusters for the k-means algorithm, which in this case is somewhere between 7 and 11 clusters. FIG. 1G) Gap statistics for estimating the optimal number of clusters using k-means from 1 up to 12 clusters using bootstrapping and first SE max method. This method suggested 9 clusters as optimal. FIG. 111) Applying k-means clustering with (k=9) on our CyTOF data resulted in clear distinction between clusters 1, 2, 3 and 4. Visualization of cluster distribution using two-dimensional non-linear embedding of the protein expression profiles by t-SNE. FIG. 1I) CyTOF expression analysis of co-inhibitory and co-stimulatory receptors in TILs harvested from B16F10 melanoma tumor-bearing WT and IL17Ra KO mice from FIG. 1A and FIG. 1J using t-SNE. FIG. 1J) vi-SNE plot highlighting the distribution of CD8⁺ TILs from WT (red) and IL27ra KO (blue) mice in clusters 1 and 2 and CD4⁺ TILs from WT (red) and IL27ra KO (blue) mice in clusters 3 and 4. Pie charts show the distribution of WT or IL27ra KO CD8⁺ and CD4⁺ TILs in each cluster. Bar graphs show the mean of signal intensity for PD-1, Tim-3, Lag-3, and TIGIT from WT and IL27ra KO TILs. Error bars are the standard error and p-values for significance are calculated using standard t-test (**p<0.01). FIG. 1K) Expression of PD-1, Tim-3, Lag-3, TIGIT, and IL-10 on CD8⁺ TILs obtained from WT and IL27ra KO mice bearing B16F10 melanoma was determined by flow cytometry. Thy1.1-IL-10 reporter mice crossed with WT and IL27ra KO mice were used for IL-10 expression analysis. FIG. 1L, FIG. 1M) Impact of IL-27 signaling on co-inhibitory receptor expression in TILs. Pie charts show the distribution of CD8⁺ and CD4⁺ TILs from WT and IL27ra KO mice bearing B16F10 melanoma between clusters 1 and 2 for CD8⁺ and between clusters 3 and 4 for CD4⁺ TILs as determined by k-means clustering of CyTOF protein expression data. Data are from independent WT and IL27ra KO TILs samples from that shown in FIG. 1J.

FIG. 2A-2B. IL-27 inducing inhibitory molecules. FIG. 2A. Naïve T cells from either wild type or IL-27ra deficient were stimulated in the presence or absence of IL-27 as indicated. Expression of known co-inhibitory molecules was examined by real-time PCR at 96 hr. N≥3, error bars indicate standard deviation (SD) FIG. 2B. Surface expression of co-inhibitory receptors on T cells stimulated as in was examined by flow cytometry. Representative data are shown.

FIG. 3A-3B. IL-27 inducing inhibitory molecules. FIG. 3A. Naïve T cells from either wild type or IL-27ra deficient were stimulated in the presence or absence of IL-27 as indicated. Expression of known co-inhibitory molecules was examined by real-time PCR at 72 hr. N≥3, error bars indicate SD. FIG. 3B. Surface expression of co-inhibitory receptors on T cells stimulated as in was examined by flow cytometry. Representative data are shown.

FIG. 4. TILs were harvested from WT and IL27ra deficient mice bearing B16F10 melanoma and analyzed using CyTOF. Right panel shows TILs from WT and IL27ra KO. All data were analyzed using vi-SNE. Right top). Graphical representation of the distribution of CD8⁺ TILs in cluster 1 and cluster 2 in WT and IL27ra KO CD8+ TILs.

FIG. 5. IL-27 inducing inhibitory molecules and PD-1 expression in TILs. Surface molecule expression on TILs from WT and IL27ra^(−/−). Surface molecules expression on CD8 TILs obtained from WT and WSX-1^(−/−) mice bearing B16F10 melanoma was analyzed by fluorescence-activated cell sorting (FACS).

FIG. 6A-6O. The IL-27-driven gene signature overlaps with multiple signatures of T cell dysfunction and tolerance and includes cytokines and cell-surface molecules. Temporal analysis of gene expression during the differentiation of FIG. 6A) CD4⁺ and FIG. 6B) CD8⁺ T cells from WT and IL27ra KO mice upon IL-27 stimulation over different time points. Data were obtained using a custom nanostring code-set containing probes (Table 16) for regulatory genes on T cells. Data shown are representative of 3 different experiments. Naïve CD4⁺ and CD8⁺ T cells from either WT or IL-27ra KO mice were stimulated with anti-CD3/CD28 in the presence or absence of IL-27 and harvested at 96 hr (CD4) and 72 hr (CD8) for global gene expression analysis. FIG. 6C) Naïve CD4⁺ and CD8⁺ T cells from either wild type or IL-27ra KO mice were stimulated with anti-CD3/CD28 in the presence or absence of IL-27 and harvested at 96 hr (CD4) and 72 hr (CD8) for global gene expression analysis. Expression level of 118 genes encoding cell surface receptors and cytokines are shown as a heatmap. FIG. 6D) Naïve CD4⁺ and CD8⁺ T cells from either WT or IL-27ra KO mice were stimulated with anti-CD3/CD28 in the presence or absence of IL-27 and harvested at 96 hr (CD4) and 72 hr (CD8) for global gene expression analysis. 118 genes encoding cell surface receptors and cytokines are shown as in FIG. 6C. FIG. 6E) Pearson correlation between the samples described in (D) for all 1,392 genes that were differentially expressed between WT CD4⁺ T cells stimulated in the presence or absence of IL-27 (Fold change >2 and FDR<0.2). FIG. 6F) Corresponding gene expression heatmap for all 1,392 genes in (FIG. 6E). FIG. 6G) Graphical representation of the overlap of IL-27-signature up-regulated genes with genes expressed in several different dysfunctional or tolerant T cell states. The width of the gray bars reflects the extent of overlap across groups. FIG. 6H) IL-27 driven surface molecules overlapped with regulatory signatures. Five different T cells from regulatory state: CD8 TILs from cancer environment, virus-antigen specific CD8 T cells from chronic virus infection, anergic CD4 T cells, over stimulated CD4 T cells by anti-CD3 antibody, tolerated CD4 T cells. All the molecules shown were differentially expressed by IL-27 stimulation and appeared on Venn figures overlapped with each regulatory T cell state. Highlighted molecules were further biologically validated. FIG. 6I) Pearson correlation between WT CD4⁺ and CD8⁺ T cells for the 1,392 genes that were differentially expressed between WT CD4⁺ T cells stimulated in the presence or absence of IL-27 (Fold change >2 and FDR<0.2). FIG. 6J) IL-27 signature genes were compared to T cell signatures obtained from five states of T cell impairment/tolerance/dysfunction. Number (left panel) and frequency (right panel) of overlapping genes between the IL-27 signature and each signature is depicted. P values were determine by hypergeometric test: Anergy—3.2e-05, Nasal anti-CD3—4.7e-21, Cancer—1.2e-33, Specific tolerance—4e-14 and Viral exhaustion—1.7e-26. FIG. 6K) Graphical representation of IL-27-driven soluble and cell surface molecules that overlap between dysfunctional CD8⁺ T cell signatures from cancer and chronic viral infection. All of the molecules depicted were induced by IL-27 stimulation. The shaded background reflects the ranking based on the extent of overlap with the T cell states depicted in G. FIG. 6L) Pdpn and Procr protein and mRNA expression was determined in T cells from WT and IL27Ra KO stimulated with anti-CD3/CD28 in the presence or absence of IL-27. CD4⁺ cells were analyzed at 96 hr (CD4) and CD8⁺ cells at 72 hr (CD8). Representative flow cytometry and qPCR data are shown. FIG. 6M) Pdpn and Procr expression on CD8⁺ TILs. Representative flow cytometry data showing Pdpn and Procr expressions with PD-1 and Tim-3 on CD8⁺ TILs obtained from WT and IL27ra KO mice bearing B16F10 melanoma. FIG. 6N) TILs from WT mice bearing B16F10 melanoma were stimulated with PMA and Ionomycin. Cytokine production in Procr⁺ or Procr⁻ CD8⁺ TILs is shown. Thy1.1-IL-10 reporter mice were used for IL-10 expression analysis. Statistical significance was determined by paired-t-test (*p<0.05; **p<0.01). FIG. 6O) panels I-VI, tSNE plots of the 516 CD8⁺ single-cell TILs (dots) harvested from WT mice bearing B16F10 melanoma tumor. Cells are colored in each panel by the relative average expression of the genes in the overlap of the IL-27 gene signature with the signatures for each of the indicated states of T cell non-responsiveness. The contour plot marks the region of highly scored cells by taking into account only those cells that have a signature score above the mean.

FIG. 7A-E. Role of Procr in T cell dysfunction and anti-tumor immunity. FIG. 7A) Lack of Procr signaling (EPCRdd) suppresses tumor growth (B16 melanoma). WT (n=8) and Procr⁻ (n=8) mice were implanted with B16F10 melanoma and the change of tumor size were plotted. Left panel, mean tumor size±s.e.m. **p<0.01; ***p<0.001, t-test. Right panel, linear regression, p<0.001. Data are from two experiments and are representative of a total of 4 independent experiments. FIG. 7B) Top panels, representative flow cytometry data showing cytokine production of CD8⁺ TILs from WT and Procr⁻ mice bearing B16F10 melanoma. Bottom panels, summary data. *p<0.05, t-test. FIG. 7C) Left panels, representative flow cytometry data showing Tim-3 and PD-1 expression on CD8⁺ TILs from WT and Procr⁻ mice bearing B16F10 melanoma. Right panels, summary data. **p<0.01; ***p<0.001, t-test. FIG. 7D-7E) T cell intrinsic effects of Procr. 5×10⁵ CD8⁺ T cells from wild type or Procr^(d/d) mice were transferred along with 1×10⁶ wild type CD4⁺ T cells to Rag1^(−/−) mice. On day 2, 5×10⁵ B16F10 cells were implanted. FIG. 7D), mean tumor size±s.e.m, *p<0.05, t-test. FIG. 7E), linear regression, *p<0.05.

FIG. 8. Exemplary data indicating that PROCR is on exhausted CD8 T cells.

FIG. 9. Reduced accumulation of exhausted T cells in PR^(d/d) mice.

FIG. 10A-10C. IL-7R expression on PD-1^(high)Tim-3^(high) CD8⁺ TILs from wild type and Pdpn cKO mice. TILs were obtained from WT and Pdpn cKO mice bearing B16F10 melanoma and stained for the expression of IL-7R. FIG. 10A) Representative flow cytometry data. FIG. 10B) Summary data, error bars are the standard error and p-values for significance are calculated using standard t-test (*p<0.05). FIG. 10C) Pdpn deficient CD8 T cells maintain IL-7R on PD-1⁺Tim3⁺ cells. IL-7R expression on PD-1+Tim-3+CD8 TILs is increased in CD4CrePdpnfl/fl mice compared to Pdpnfl/fl mice. TILs were obtained from Pdpnfl/fl and CD4CrePdpnfl/fl mice bearing B16F10 melanoma and stained for the expression of IL-7R and IL-2Ra. Representative data is shown as flow-cytometric schemes and the data from multiple experiments are combined and shown as plots. The t-test provided the statistical p values (*p<0.05). The bars represent the SD.

FIG. 11A-11C. Role of Pdpn in T cell dysfunction and anti-tumor immunity. FIG. 11A) Pdpn fl/fl (WT, n=5) and CD4crePdpnfl/fl (Pdpn cKO, n=5) mice were implanted with B16F10 melanoma. Left panel, mean tumor size±s.e.m. *p<0.05; **p<0.01; ***p<0.001, t-test. Right panel, linear regression p<0.001. Data shown are representative of 3 independent experiments. FIG. 11B) Top panels, representative flow cytometry data showing cytokine production of CD8⁺ TILs from WT and Pdpn cKO bearing B16F10 melanoma. Bottom panels, summary data. *p<0.05; ***p<0.001, t-test. FIG. 11C) Pdpn deficient CD8 T cells lose PD-1⁺Tim3^(high) sub-population. Lack of Pdpn lost Tim-3^(high) population of CD8 TILs. Left panels, representative flow cytometry data showing Tim-3 and PD-1 expression on CD8⁺ TILs from WT and Pdpn cKO bearing B16F10 melanoma. Right panels, summary data. *p<0.05, t-test.

FIG. 12A-12D. Prdm1 regulate multiple co-inhibitory molecules on T cells in cancer. FIG. 12A) Network model based on gene expression data of naïve CD8⁺ T cells from Prdm1^(fl/fl) (WT) or CD4^(cre)Prdm1^(fl/fl) (Prdm1 cKO) mice stimulated in the presence of IL-27 and ChIPseq data for Prdm1. Straight arrows facing right designate genes up-regulated by Prdm1 and straight arrows facing left arrows designate genes down-regulated by Prdm1. Curved gray arrows designate potential Prdm1 binding sites on each gene promoter. FIG. 12B) Prdm1 expression in naïve CD8⁺ T cell stimulated in the presence of IL-27 and in PD-1⁺Tim-3⁺ CD8⁺ (DP) compared to PD-1⁻Tim-3⁻ CD8⁺ (DN) TILs as determined by global gene expression profiling. *p<0.05 FIG. 12C) Representative flow cytometry data showing PD-1, Tim-3, Tigit, Lag3, Procr, and Pdpn expression on CD8⁺ TILs from WT and Pdrm1 cKO mice bearing B16F10 melanoma. *p<0.05, ***p<0.001. FIG. 12D) WT (n=5) and Prdm1 cKO (n=5) mice were implanted with B16F10 melanoma. Mean tumor size±s.e.m is shown. Data are representative of 3 independent experiments.

FIG. 13A-13D. c-Maf regulates multiple co-inhibitory molecules on T cells in cancer. FIG. 13A) Left panel, gene expression in CD8⁺ TILs from WT and Prdm1 cKO mice bearing B16F10 melanoma was analyzed by n-counter code-set of 397 genes. Differentially expressed genes are shown as a heatmap. Red designates up-regulated genes and blue designates down-regulated genes. Right panel, expression of c-Maf in CD8⁺ TILs from WT and Prdm1 cKO mice as determined by qPCR. *p<0.05, t-test. FIG. 13B) Expression shown as representative contour plots for PD-1, Tim-3, Tigit, Lag3, Procr, and Pdpn expression on CD8⁺ TILs from Prdm1 KO and CD4^(cre)c-Maf^(fl/fl) (c-Maf cKO) as determined by flow cytometry and summarized below *p<0.05, t-test. FIG. 13C) Frequency of co-inhibitory receptor expression of prdm1 cKO (gray bar) and c-Maf cKO (open bar) CD8⁺ TILs relative to WT (filled bar). FIG. 13D) Left panel, c-Maf^(fl/fl) (WT, n=5) and c-Maf cKO (n=5) mice were implanted with B16F10 melanoma. Mean tumor size±s.e.m is shown. Data are representative of 3 independent experiments. Right panel, expression of Prdm1 in CD8⁺ TILs from WT and c-Maf cKO mice as determined by qPCR.

FIG. 14A-14G. Prdm1 and c-Maf together regulate a co-inhibitory gene module that determines anti-tumor immunity. FIG. 14A) Network model based on coupling gene expression data of naïve CD8⁺ T cells from Prdm1 cKO or c-Maf cKO mice stimulated in the presence of IL-27 and ChIP data for Prdm1 and c-Maf. Green arrows indicate up-regulated genes and red arrows indicate down-regulated genes. Gray arrows indicate potential binding on each promoter region by either Prdm1 or c-Maf. FIG. 14B) Top panels, representative flow cytometry data shown as contour plots for PD-1, Tim-3, Tigit, Lag3, Procr, and Pdpn expression on CD8⁺ TILs from WT and CD4^(cre)Prdm1^(fl/fl)c-Maf^(fl/fl) (cDKO) bearing B16F10 melanoma. Bottom panels, summary of expression data by flowcytometry. **p<0.01; ***p<0.001, t-test. FIG. 14C) Top panels, representative flow cytometry data showing cytokine production from CD8⁺ TILs WT and Prdm1^(fl/f1)c-Maf^(fl/fl) cDKO bearing B16F10 melanoma. Bottom panels, summary data *p<0.05, t-test. **p<0.01 FIG. 14D) Top panel, WT (n=14) and CD4^(cre)Prdm1^(fl/fl)c-Maf^(fl/fl) cDKO (n=8) mice were implanted with B16F10 melanoma. Mean tumor size±s.e.m is shown. *p<0.05, **p<0.01, t-test. Bottom panel, Linear regression ***p<0.001. Data shown are pooled from 3 independent experiments. FIG. 14E) 940 differentially expressed genes between CD8⁺ TILs from wild type control (WT) and CD4^(cre)Prdm1^(fl/fl)c-Maf^(fl/fl) (cDKO) bearing B16F10 melanoma. (adj. P. value <0.05, likelihood ratio test and FDR correction) (top panel) and their corresponding expression pattern in PD-1⁺Tim-3⁺ CD8⁺ (DP), PD-1⁺Tim-3⁺ CD8⁺ (SP) and PD-1⁻Tim-3⁻ CD8⁺ (DN) TILs (bottom panel). FIG. 14F) Co-inhibitory receptor expression in CD4⁺ TILs from Prdm1/c-Maf cDKO mice. Top panels, representative flow cytometry data for TILs from WT and Prdm1/c-Maf cDKO stained for PD-1, Tim-3, TIGIT, Pdpn, and Procr expression. Bottom panels show summary data. *p<0.05, t-test. FIG. 14G) A tSNE plot of the 516 CD8⁺ single-cell tumor-infiltrating lymphocytes (TILs) harvested from WT mice bearing B16F10 melanoma tumors, colored by the relative signature score for co-inhibitory module and the cDKO signature (shown in (FIG. 14E)). The contour plot marks the region of highly scored cells by taking into account only those cells that have a signature score above the mean.

FIG. 15A-15C. Comparison of gene expression between Prdm1/c-Maf cDKO TILs and CD8⁺ TILs populations from wild type mice. FIG. 15A) Barcode enrichment plot displaying two gene sets in a ranked gene list. The ranked gene list was defined as fold change in gene expression between Prdm1/c-Maf cDKO and WT CD8⁺ TILs. The three gene sets consist of differentially expressed genes between: PD-1⁺Tim-3⁺ CD8⁺ (DP) and PD-1⁻Tim-3⁻ CD8⁺ (DN) TILs, PD-1⁺Tim-3⁺ CD8⁺ (DP) TILs and Memory CD8⁺, and PD-1⁺Tim-3⁻ CD8⁺ (SP) and PD-F Tim-3⁻ CD8⁺ (DN) TILs. FIG. 15B) This analysis was followed by four statistical tests (one-sample Kolmogorov-Smirnov test, mean-rank gene set test (wilcoxGST), hypergeometric and competitive gene set test accounting for inter-gene correlation) for enrichment of these signatures in the DKO expression profile. FIG. 15C) WT versus DKO volcano plot, in green are all the genes that were up-regulated in the PD-1⁻Tim-3⁻ CD8⁺ (DN) TILs and in red are all the genes that were up-regulated in the PD-1⁺Tim-3⁺ CD8⁺ (DP) TILs.

FIG. 16. NKG2A is co-expressed with PD-1+Tim3+CD8 T cells.

FIG. 17. Lilrb4 is co-expressed with PD-1+Tim3+CD8 T cells and blocking antibody slightly suppress tumor growth (B16 melanoma).

FIG. 18. Cysltr2 (LT2) deficiency enhances tumor growth. WT and LT2 KO mice were injected with B16F10 melanoma cells on day 0 and the change in tumor size was plotted (WT: N=5, LT2 KO: N=5). Linear regression following ANOVA was performed between the groups.

FIG. 19. Cysltr2 (LT2) deficiency reduces IL-2 production by CD8 TILs. Cytokine production from CD8 TILs was analyzed by intracellular cytokine staining using FACS. Representative data are shown as flow-cytometric schemes and the data from multiple experiments are combined and shown as plots.

FIG. 20. Comparison of expression levels between exhausted CD8 cells and memory cells for the target genes. Those genes that were up-regulated in the memory cells can be associated with survival/stimulatory/inhibitory-of-inhibitory effects.

FIG. 21. Gp49a and Gp49b expression are highly positively correlated with pathogenicity of Th17 cell at single cell level. Th17 cell pathogenicity signature was generated from RNA-seq profiles of in vitro differentiated Th17 cells with different capacities to induce disease in vivo. Single cell RNA-seq was performed on Th17 cells both in vitro and ex vivo from experimental autoimmune encephalomyelitis (EAE) mice. Each single cell was assigned a pathogenicity score based on its expression of the pathogenicity signature. The plot displays correlation between expression levels of co-inhibitory or co-stimulatory receptors in each single cell and the pathogenicity score of the cell.

FIG. 22. Gp49 is expressed by in vitro differentiated pathogenic Th17 but not non-pathogenic Th17. To differentiate Th17 cells, CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus indicated cytokines. Expression of Gp49 was measured by FACS on day 3. FIG. 23. T cell receptor (TCR) signal is not sufficient to induce Gp49 expression in vitro and Gp49 expression is inhibited by TGFb. CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; TGFb (2 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml), or, (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of Gp49 was measured by FACS on day 3.

FIG. 24. Gp49 expression on T cells is restricted to tissue. Gp49 expression pattern in vivo at peak of EAE. EAE was induced in C57/BL6 mice by immunization with 100 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS, dLN and spleen. Expression of Gp49 was analyzed by FACS. Data shown was gated on CD4+ TCRb+ live cells. Similar patterns were observed on CD8+ T cells. No expression was observed on B cells.

FIG. 25. Gp49 expression on myeloid cells is not restricted to tissue. Gp49 in vivo expression pattern in EAE model. EAE was induced in C57/BL6 mice by immunization with 100 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS, dLN and spleen. Expression of Gp49 was analyzed by FACS. Data shown was gated on CD45+ live cells.

FIG. 26. Gp49a overexpression promotes IL17a production in vitro. In vitro differentiated Th17 cells were transduced with retrovirus overexpressing Gp49a on day 1. Expression of Gp49a and IL17a were measured by qPCR on day 3.

FIG. 27. Gp49a overexpression on 2D2 cells for transfer EAE. 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were transduced with retrovirus overexpressing Gp49a on day 1 and was injected i.v. to induce EAE on day 7. Gp49 expression was measured by FACS.

FIG. 28. Gp49a overexpression promotes pathogenicity of Th17 cells. 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were transduced with retrovirus overexpressing Gp49a on day 1 and was injected i.v. to induce EAE on day7. Leukocytes were isolated from CNS on day 21, stimulated in vitro with PMA and Ionomycin. Cytokine production from CD4 T cells were measured by FACS.

FIG. 29. Gp49a overexpression promotes IL17a and GM-CSF in vivo. 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were transduced with retrovirus overexpressing Gp49a on day 1 and was injected i.v. to induce EAE on day7. Leukocytes were isolated from CNS on day 21, stimulated in vitro with PMA and Ionomycin. Cytokine production from CD4 T cells were measured by FACS.

FIG. 30. Gp49b knock-out (KO) mouse exhibits characteristics of a double knockout. CD4+CD44loCD62Lhi naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml). Expression of Gp49 was measured by FACS on day 3. The protein level is shown for in vitro pathogenic Th17 cells.

FIG. 31. RNA levels of Gp49a and GP49b in wild type and knockout mice were measured by qPCR.

FIG. 32. Gp49b KO Th17 cells produce less IL17, GM-CSF, IL1r1 and IL23r in vitro. CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells from spleen of WT and Gp49b KO mouse were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the indicated cytokines. Expression of cytokines was analyzed by FACS and qPCR on day 4.

FIG. 33. Nanostring in vitro Th17 WT versus Gp49 KO. CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells from spleen of WT and Gp49b KO mouse were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the indicated cytokines. RNA was isolated on day 4 and subjected to Nanostring analysis.

FIG. 34. This figure compares EAE scores in WT, Gp49het (heterozygous for the Gp49b disrupted allele) and GP49KO (homozygous for the Gp49b disrupted allele). The results show that Gp49b KO mouse develops ameliorated EAE. Gp49a might be more dominant in Th17 and EAE, and Gp49a itself might have co-stimulatory signal, otherwise double KO should have same phenotype as Gp49b KO. EAE was induced by immunization with 50 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Brain and spinal cord were dissected on day28 for histology analysis.

FIG. 35. This figure depicts the pathology scores for Gp49 KO mice with EAE in male and female mice. EAE was induced by immunization with 50 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Brain and spinal cord were dissected on day 28 for histology analysis.

FIG. 36. Gp49 KO mice have more Treg cells in CNS but not dLN/Spleen at peak of EAE. EAE was induced by immunization with 50 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS at peak of disease and analyzed by FACS.

FIG. 37. Integrin αvβ3: αv is expressed by all activated T cells in vitro; β3 is expressed by a small proportion of Th0, Th2 & Th17 cells. CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of αvβ3 integrin was analyzed by FACS and qPCR on day 4.

FIG. 38. Integrin avb3 doesn't bind to Th17 cells (in Hank's balanced salt solution ((HBSS)) in the presence of Ca2+ and Mg2+. In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged integrin avb3 in HBSS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 39. Integrin avb3 doesn't bind to Th17 cells (in phosphate buffered saline ((PBS)) in the absence of Ca2+ and Mg2+. In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged integrin αvβ3 in PBS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 40. Plate-bound integrin αvβ3 does not appear to have much effect on Th17 cells. Anti-CD3/CD28 beads are used at a ratio of 1:1. Naïve T cells were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with anti-CD3/CD28 Dynabeads (Thermo Fisher Scientific) in the presence of plate bound integrin avb3 (10 ug/ml) or BSA (10 ug/ml) as control. Cytokine production from Th17 cells were measured by FACS on day 4.

FIG. 41. Angpts affect IL17 production from pathogenic Th17 cells. Naïve T cells were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with plate-bound anti-CD3/CD28 in the presence indicated concentration of Angiopoeitins. Cytokine production from Th17 cells were measured by FACS on day 4. Squares correspond to pathogenic cells; circles correspond to non-pathogenic cells.

FIG. 42. The effects of Angpts on Th17 cells are independent of Gp49b. Naïve T cells from spleen of WT and Gp49b KO mice were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with plate-bound anti-CD3/CD28 in the presence of Angiopoeitins (10 ug/ml). Cytokine production from Th17 cells were measured by FACS on day 4.

FIG. 43. Effects of Angpts on Th17 cells are independent of Gp49b. Naïve T cells from spleen of WT and Gp49b KO mice were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with plate-bound anti-CD3/CD28 in the presence of Angiopoeitins (10 ug/ml). RNA was extracted on day 4 and subjected to Nanostring analysis with a codeset of Th17 cell signature gene.

FIG. 44. Binding of Angpts to Th17 cells is independent of Gp49 (in PBS). In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged Angiopoetins (10 ug/ml) in PBS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 45. Binding of Angpts to Th17 cells is independent of Gp49 (in PBS). In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged Angiopoetins (10 ug/ml) in PBS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 46. Binding of Angpts to Th17 cells is independent of Gp49 (in HBSS). In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged Angiopoetins (10 ug/ml) in HBSS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 47. Binding of Angpts to Th17 cells is independent of Gp49 (in HBSS). In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged Angiopoetins (10 ug/ml) in buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 48. CD166 is a new ligand for Gp49a/b that is is highly expressed by pathogenic Th17 cells. CD166 is associated with Gp49a/b expression in Th17 single cell data. CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; TGFb (2 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml), or, IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of CD166 was measured by FACS on day 3.

FIG. 49. Plate-bound CD166 inhibits GM-CSF and enhances IL10 production from pathogenic Th17 cells in a Gp49 dependent way. Naïve T cells from spleen of WT or Gp49b KO mouse were differentiated into pathogenic in vitro with anti-CD3/CD28 Dynabeads in the presence of plate bound recombinant CD166 (10 ug/ml) or BSA (10 ug/ml) as control. Cytokine production from Th17 cells were measured by FACS on day 4.

FIG. 50. Exogenous CD166 binds weakly to Th17 cells (in HBSS). In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged CD166 (10 ug/ml) in indicated buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS.

FIG. 51. Lilrb4 expression is upregulated on exhausted CD8 T cells. DN=PD1 Tim3 double negative cells; SP=PD1 single positive cells; DP=PD1 Tim3 double positive cells.

FIG. 52. Lilrb4 expression is upregulated on exhausted CD8 T cells. 0.5 million of B16F10 cells were injected subcutaneously into the right flank of C57BL/6J mice. On day 15, tumor infiltrating leukocytes were isolated by collagenase D digestion followed by Percoll gradient centrifugation. Expression of Gp49, PD1, Tim3 were measured by FACS.

FIG. 53. Lilrb4 expression is upregulated on exhausted CD8 T cells. 1 million of MC38 cells were injected subcutaneously into the right flank of C57BL/6J mice. On day 25, tumor infiltrating leukocytes were isolated by collagenase D digestion followed by Percoll gradient centrifugation. Expression of Gp49, PD1, Tim3 were measured by FACS.

DETAILED DESCRIPTION OF THE INVENTION Definitions

Unless otherwise defined, all terms used in disclosing the invention, including technical and scientific terms, have the meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. By means of further guidance, term definitions are included to better appreciate the teaching of the invention. When specific terms are defined in connection with a particular aspect of the invention or a particular embodiment of the invention, such connotation is meant to apply throughout this specification, i.e., also in the context of other aspects or embodiments of the invention, unless otherwise defined.

As used herein, the term “unresponsiveness” includes refractivity to activating receptor-mediated stimulation. Such refractivity is generally antigen-specific and persists after exposure to the antigen has ceased. Unresponsive immune cells can have a reduction of at least 10%, at least 20%, at least at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, or even 100% in cytotoxic activity, cytokine production, proliferation, trafficking, phagocytotic activity, or any combination thereof, relative to a corresponding control immune cell of the same type.

As described herein, the terms “modulating” or “to modulate” generally means either reducing or inhibiting the activity or expression of, or alternatively increasing the activity or expression of, a given entity or effect. As non-limiting examples, one can modulate the activity or expression of a target or antigen, such as at least one of the target genes listed in Table 1 (e.g., PROCR and/or PDPN), as measured using a suitable in vitro, cellular or in vivo assay, such as those described herein in the Examples. As another non-limiting example, one can modulate a T cell phenotype, including e.g., exhaustion or responsiveness to stimulation. As another non-limiting example, one can modulate a disease phenotype, e.g, an autoimmune or other immune disease phenotype. In particular, “modulating” or “to modulate” can mean either reducing or inhibiting the activity or expression of, or alternatively increasing a (relevant or intended) biological activity or expression of, a target or antigen, or a phenotype, as measured using a suitable in vitro, cellular or in vivo assay (which will usually depend on the target or antigen involved), by at least 5%, at least 10%, at least 25%, at least 50%, at least 60%, at least 70%, at least 80%, or 90% or more, compared to activity of the target or antigen in the same assay under the same conditions but without the presence of the inhibitor/antagonist agents or activator/agonist agents described herein.

As will be clear to the skilled person, “modulating” can also involve effecting a change (which can either be an increase or a decrease) in affinity, avidity, specificity and/or selectivity of a target or antigen for one or more of its ligands, binding partners, partners for association into a homomultimeric or heteromultimeric form, or substrates; and/or effecting a change (which can either be an increase or a decrease) in the sensitivity of the target or antigen for one or more conditions in the medium or surroundings in which the target or antigen is present (such as pH, ion strength, the presence of co-factors, etc.), compared to the same conditions but without the presence of a modulating agent. Again, this can be determined in any suitable manner and/or using any suitable assay known per se, depending on the target or antigen involved. In particular, an action as an inhibitor/antagonist or activator/agonist can be such that an intended biological or physiological activity is increased or decreased, respectively, by at least 5%, at least 10%, at least 25%, at least 50%, at least 60%, at least 70%, at least 80%, or 90% or more, compared to the biological or physiological activity in the same assay under the same conditions but without the presence of the inhibitor/antagonist agent or activator/agonist agent. Modulating can, for example, also involve allosteric modulation of the target or antigen; and/or reducing or inhibiting the binding of the target or antigen to one of its substrates or ligands and/or competing with a natural ligand, substrate for binding to the target or antigen. Modulating can also involve activating the target or antigen or the mechanism or pathway in which it is involved. Modulating can for example also involve effecting a change in respect of the folding or conformation of the target or antigen, or in respect of the ability of the target or antigen to fold, to change its conformation (for example, upon binding of a ligand), to associate with other (sub)units, or to disassociate. Such a change will have a functional effect.

The terms “decrease”, “reduced”, “reduction”, or “inhibit” are all used herein to mean a decrease or lessening of a property, level, or other parameter by a statistically significant amount. In some embodiments, “reduce,” “reduction” or “decrease” or “inhibit” typically means a decrease by at least 10% as compared to a reference level (e.g., the absence of a given treatment) and can include, for example, a decrease by at least about 10%, at least about 20%, at least about 25%, at least about 30%, at least about 35%, at least about 40%, at least about 45%, at least about 50%, at least about 55%, at least about 60%, at least about 65%, at least about 70%, at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 95%, at least about 98%, at least about 99%, or more. As used herein, “reduction” or “inhibition” does not encompass a complete inhibition or reduction as compared to a reference level. “Complete inhibition” is a 100% inhibition as compared to a reference level. A decrease can be preferably down to a level accepted as within the range of normal for an individual without a given disorder.

The terms “increased”, “increase” or “enhance” or “activate” are all used herein to generally mean an increase of a property, level, or other parameter by a statistically significant amount; for the avoidance of any doubt, the terms “increased”, “increase” or “enhance” or “activate” means an increase of at least 10% as compared to a reference level, for example an increase of at least about 20%, or at least about 30%, or at least about 40%, or at least about 50%, or at least about 60%, or at least about 70%, or at least about 80%, or at least about 90% or up to and including a 100% increase or any increase between 10-100% as compared to a reference level, or at least about a 1-fold, at least about a 1.5-fold, at least about a 2-fold, or at least about a 3-fold, or at least about a 4-fold, or at least about a 5-fold or at least about a 10-fold increase, at least about a 20-fold increase, at least about a 50-fold increase, at least about a 100-fold increase, at least about a 1000-fold increase or more as compared to a reference level.

A “pharmaceutical composition” refers to a composition that usually contains an excipient, such as a pharmaceutically acceptable carrier that is conventional in the art and that is suitable for administration to cells or to a subject. In addition, compositions for topical (e.g., oral mucosa, respiratory mucosa) and/or oral administration can be in the form of solutions, suspensions, tablets, pills, capsules, sustained-release formulations, oral rinses, or powders, as known in the art and described herein. The compositions also can include stabilizers and preservatives. For examples of carriers, stabilizers and adjuvants, University of the Sciences in Philadelphia (2005) Remington: The Science and Practice of Pharmacy with Facts and Comparisons, 21 st Ed.

The phrase “pharmaceutically acceptable” is employed herein to refer to those compounds, materials, compositions, and/or dosage forms which are, within the scope of sound medical judgment, suitable for use in contact with the tissues of human beings and animals without excessive toxicity, irritation, allergic response, or other problem or complication, commensurate with a reasonable benefit/risk ratio.

As used herein, the term “pharmaceutically acceptable carrier” can include any material or substance that, when combined with an active ingredient, allows the ingredient to retain biological activity and is non-reactive with the subject's immune system. Examples include, but are not limited to, any of the standard pharmaceutical carriers such as a phosphate buffered saline solution, water, emulsions such as oil/water emulsion, and various types of wetting agents. The term “pharmaceutically acceptable carriers” excludes tissue culture media.

As used herein, the term “comprising” means that other elements can also be present in addition to the defined elements presented. The use of “comprising” indicates inclusion rather than limitation.

As used herein the term “consisting essentially of” refers to those elements required for a given embodiment. The term permits the presence of additional elements that do not materially affect the basic and novel or functional characteristic(s) of that embodiment of the invention.

The term “consisting of” refers to compositions, methods, and respective components thereof as described herein, which are exclusive of any element not recited in that description of the embodiment.

Further, unless otherwise required by context, singular terms shall include pluralities and plural terms shall include the singular. As used herein, the singular forms “a”, “an”, and “the” include both singular and plural referents unless the context clearly dictates otherwise.

The recitation of numerical ranges by endpoints includes all numbers and fractions subsumed within the respective ranges, as well as the recited endpoints.

The terms “about” or “approximately” as used herein when referring to a measurable value such as a parameter, an amount, a temporal duration, and the like, are meant to encompass variations of and from the specified value, such as variations of +/−10% or less, preferably +/−5% or less, more preferably +/−1% or less, and still more preferably +/−0.1% or less of and from the specified value, insofar such variations are appropriate to perform in the disclosed invention. It is to be understood that the value to which the modifier “about” or “approximately” refers is itself also specifically, and preferably, disclosed.

Whereas the terms “one or more” or “at least one”, such as one or more members or at least one member of a group of members, is clear per se, by means of further exemplification, the term encompasses inter alia a reference to any one of said members, or to any two or more of said members, such as, e.g., any ≥3, ≥4, ≥5, ≥6, or ≥7 etc. of said members, and up to all said members. In another example, “one or more” or “at least one” may refer to 1, 2, 3, 4, 5, 6, 7 or more.

The term “optional” or “optionally” means that the subsequent described event, circumstance or substituent may or may not occur, and that the description includes instances where the event or circumstance occurs and instances where it does not.

It should be understood that this invention is not limited to the particular methodologies, protocols, and reagents, etc., described herein and as such can vary therefrom. The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to limit the scope of the present invention, which is defined solely by the claims.

IL-27 and IL-27 Signaling Pathways

IL-27 is a heterodimeric cytokine of the IL-6 and IL-12 family composed of the IL-2′7p28 and EBI3 subunits. IL-27p28 and EBI3 are produced primarily by antigen-presenting cells after stimulation by microbial products or inflammatory mediators. The IL-27 receptor is composed of WSX-1 (also known as T cell cytokine receptor), a type I cytokine receptor, and glycoprotein 130 (gp130), a receptor subunit utilized by several other IL-6 and IL-12 family members. Although gp130 expression is ubiquitous, WSX-1 expression is largely restricted to leukocytes, including T cells, natural killer (NK) cells, human monocytes, and human mast cells. IL-27 binds specifically to WSX-1, and EBI3 is required for signal transduction (E. D. Tait Wojno and C. A. Hunter, Trends Immunol. 2012 February; 33(2):91-7).

Accordingly, the term “IL-27,” as used herein, refers to the heterodimer composed of: the mature form of the precursor IL-27p28 polypeptide having the amino acid sequence of: MGQTAGDLGWRLSLLLLPLLLVQAGVWGFPRPPGRPQLSLQELRREFTVSLHLARKLLS EVRGQAHRFAESHLPGVNLYLLPLGEQLPDVSLTFQAWRRLSDPERLCFISTTLQPFHAL LGGLGTQGRWTNMERMQLWAMRLDLRDLQRHLRFQVLAAGFNLPEEEEEEEEEEEEE RKGLLPGALGSALQGPAQVSWPQLLSTYRLLHSLELVLSRAVRELLLLSKAGHSVWPLG FPTLSPQP (SEQ ID NO: 1), as described by, e.g., NP 663634.2, together with any naturally occurring allelic, splice variants, and processed forms (e.g., the mature form IL-27p28(29-243)) thereof, and the mature form of the precursor EBI3 or IL-27B polypeptide having the amino acid sequence of: MTPQLLLALVLWASCPPCSGRKGPPAALTLPRVQCRASRYPIAVDCSWTLPPAPNSTSPV SFIATYRLGMAARGHSWPCLQQTPTSTSCTITDVQLFSMAPYVLNVTAVHPWGSSSSFV PFITEHIIKPDPPEGVRLSPLAERQLQVQWEPPGSWPFPEIFSLKYWIRYKRQGAARFHRV GPIEATSFILRAVRPRARYYVQVAAQDLTDYGELSDWSLPATATMSLGK (SEQ ID NO: 2), as described by, e.g., NP 005746.2, together with any naturally occurring allelic, splice variants, and processed forms (e.g., the mature form IL-27B(21-229)) thereof. Typically, IL-27 refers to human IL-27. Specific residues of IL-27 can be referred to as, for example, “IL-27(62).”

IL-27 was initially described as a proinflammatory cytokine that promoted T helper (Th)1 responses. Subsequent studies in multiple models of infectious and autoimmune disease demonstrated an anti-inflammatory role for IL-27 in Th1, Th2 and Th17 responses, and recent work has shown that IL-27 can induce T cells to produce the anti-inflammatory cytokine IL-10. The consequences of IL-27 signaling appear to depend, in part, on the immunological context, the temporal regulation of IL-27 production, and tissue- and cell-specific expression of components of the IL-27 receptor (E. D. Tait Wojno and C. A. Hunter, Trends Immunol. 2012 February; 33(2):91-7).

IL-27 has been shown to promote the generation of Tr-1 cells that produce IL-10 by inducing expression of the activator protein-1 family transcription factor c-Maf. c-Maf directly transactivates the Il10 promoter to upregulate IL-10, and binds to the promoter of the common γ chain cytokine Il21 to elicit IL-21 production that maintains IL-10 producers. Moreover, IL-27 signaling upregulates expression of the aryl hydrocarbon receptor (AhR), which partners with c-Maf to optimize interactions with the Il10 and Il21 promoters, further supporting Tr-1 development. IL-27-mediated IL-10 production also depends on STAT1 and STAT3 signaling, and the inducible co-stimulator (ICOS). IL-27 signaling is also believed to elicit Tfh responses by inducing c-Maf and IL-21 that promote Tfh activity. However, IL-27 alone does not cause CD4+ T cells to differentiate into functional Tfhs, and IL-27 signaling is not required for the generation of antibody responses in models of infection, allergy and autoimmunity. IL-27 also has direct effects on B cells. IL-27 has also been shown to regulate regulatory T cell (Treg) populations and acts as an antagonist of inducible Treg differentiation (E. D. Tait Wojno and C. A. Hunter, Trends Immunol. 2012 February; 33(2):91-7). Recently, it was also demonstrated that IL-27 priming of naïve CD4 and CD8 T cells upregulates expression of PD-L1 in a STAT1-dependent manner and such IL-27 primed cells can limit in trans the effect of pathogenic IL-17-producing Th17 cells in vitro and in vivo (Hirahara K. et al., Immunity. 2012 Jun. 29; 36(6):1017-30).

As demonstrated herein, IL-27 plays a critical role in the development of T cell exhaustion, and drives an IL-27 inhibitory gene module in which the expression and activity of a variety of co-inhibitory and co-stimulatory molecules are induced.

T Cell Dysfunction

As used herein, the term “T cell dysfunction” refers to a state in which a T cell or population of T cells fail to respond with effector function when stimulated with antigen and/or stimulatory cytokines sufficient to elicit an effector response in non-dysfunctional T cells. The term encompasses T cell tolerance, a normal state required to avoid self-reactivity, as well as T cell ignorance, T cell exhaustion, and T cell anergy.

As used herein, in regard to T cell tolerance, thymocytes that express a T cell receptor with affinity for self antigen/WIC complexes are actively deleted (referred to herein as central tolerance, involving negative selection). As used herein, in regard to peripheral tolerance, self-reactive T cells that escape negative selection are inactivated in the periphery by deletion, suppression by regulatory T cells and/or induction of an imprinted cell-intrinsic program resulting in a state of functional unresponsiveness. Self-tolerant T cells have been exposed to self antigen.

As used herein, in regard to T cell ignorance, self-reactive peripheral T cells are “unaware of” self-antigen, e.g., due to physical sequestration of the antigen from immune surveillance, or because the level of self-antigen and/or its presentation is too low to elicit a response.

As used herein, T cell anergy, originally referred to the absence of delayed skin test hypersensitivity responses to recall antigens in cancer patients, now commonly also refers to the dysfunctional state of T cells stimulated in vitro in the absence of co-stimulatory signals. Anergic T cells induced in vitro fail to produce IL-2 or to proliferate in response to later antigen stimulation under optimal conditions. An in vivo state referred to as T cell anergy or adaptive tolerance involves unresponsiveness as a result of suboptimal stimulation.

T cell exhaustion is a state of functional hyporesponsiveness to stimuli that tends to occur with chronic exposure to antigen, e.g., in chronic infection or in cancer. Exhausted T cells fail to induce effector function following stimulation with CD28 and TCR/CD3 cross-linking, and express one or more of eomesodermin (Eomes), and the transcription factor(s) Blimp-1, T-bet, BATF, and NFAT. Exhausted T cells also generally express PD-1 and TIM-3. In one embodiment, T cell exhaustion can be assessed by an in vitro assay comprising contacting a T cell with a CD28 stimulus and measuring the degree of response. An exhausted T cell will fail to respond to stimulation with CD28. Other methods for measuring T cell exhaustion include proliferation assays or cytotoxic assays and/or are known in the art (see e.g., Yi et al. (2010) Immunol 129(4):474-481).

T cell dysfunction and the similarities and differences between the various types of dysfunction are discussed by Schietinger and Greenberg, Trends in Immunol. 35: 51-60, 2014, “Tolerance and exhaustion: defining mechanisms of T cell dysfunction,” the contents of which are incorporated herein by reference.

As used herein, the terms “functional exhaustion” or “unresponsiveness” refer to a state of a cell where the cell does not perform its usual function or activity in response to normal input signals, and includes refractivity of immune cells to stimulation, such as stimulation via an activating receptor or a cytokine. Such a usual function or activity includes, but is not limited to, proliferation or cell division, entrance into the cell cycle, cytokine production, cytotoxicity, trafficking, phagocytotic activity, or any combination thereof. Normal input signals can include, but are not limited to, stimulation via a receptor (e.g., T cell receptor, B cell receptor, co-stimulatory receptor). Unresponsive immune cells can have a reduction of at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, or even 100% in one or more effector functions, such as cytotoxic activity, cytokine production, proliferation, trafficking, phagocytotic activity, or any combination thereof, relative to a corresponding control immune cell of the same type. In some particular embodiments of the aspects described herein, a cell that is functionally exhausted is a CD4 or helper T lymphocyte that expresses the CD4 cell surface marker. Such CD4 cells normally proliferate, and/or produce cytokines, such as IL-2, TNFα, IFNγ, IL-4, IL-5, IL-17, or a combination thereof, in response to T cell receptor and/or co-stimulatory receptor stimulation. Thus, a functionally exhausted or unresponsive CD4 T cell is one which has a reduction in proliferation, and/or cytokine production, such as IL-2, TNFα, IFNγ, in response to normal input signals. The cytokines produced by CD4 T cells act, in part, to activate and/or otherwise modulate, i.e., “provide help,” to other immune cells such as B cells and CD8+ cells. In some particular embodiments of the aspects described herein, a cell that is functionally exhausted is a CD8 or cytotoxic T lymphocyte that expresses the CD8cell surface marker. Such CD8 cells normally proliferate, engage in cytotoxic or cytolytic activity, and/or produce cytokines, such as IL-2 and IFNγ, or a combination thereof, in response to T cell receptor and/or co-stimulatory receptor stimulation. Thus, a functionally exhausted or unresponsive CD8 T cell is one which has a reduction in proliferation, cytotoxic activity, and/or cytokine production, such as IL-2, TNFα, IFNγ, in response to normal input signals.

As used herein, the term “reduces T cell tolerance” means that a given treatment or set of conditions leads to reduced T cell tolerance as evidenced by an increase in one or more T cell effector functions, e.g., greater T cell proliferation, cytokine production, responsiveness, and/or ability or receptiveness with regards to activation. Methods of measuring T cell activity are known in the art. By way of non-limiting example, T cell tolerance can be induced by contacting T cells with recall antigen, anti-CD3 in the absence of costimulation, and/or ionomycin. Levels of, e.g. LDH-A, RAB10, and/or ZAP70 (both intracellular or secreted) can be monitored, for example, to determine the extent of T cell tolerogenesis (with levels of IL-2, interferon-γ and TNF correlating with increased T cell tolerance). The response of cells pre-treated with, e.g. ionomycin, to an antigen can also be measured in order to determine the extent of T cell tolerance in a cell or population of cells, e.g. by monitoring the level of secreted and/or intracellular IL-2 and/or TNF-α (see, e.g. Macian et al. Cell 2002 109:719-731; which is incorporated by reference herein in its entirety). Other characteristics of T cells having undergone adaptive tolerance is that they have increased levels of Fyn and ZAP-70/Syk, Cbl-b, GRAIL, Ikaros, CREM (cAMP response element modulator), B lymphocyte-induced maturation protein-1 (Blimp-1), PD1, CD5, and SHP2; increased phosphorylation of ZAP-70/Syk, LAT, PLCγ1/2, ERK, PKC-Θ/IKBA; increased activation of intracellular calcium levels; decreased histone acetylation or hypoacetylation and/or increased CpG methylation at the IL-2 locus. Thus, in some embodiments, modulation of one or more of any of these parameters can be assayed to determine whether one or more modulating agents modulates an immune response in vivo or modulates immune tolerance.

Modulation of T cell tolerance can also be measured by determining the proliferation of T cells in the presence of a relevant antigen assayed, e.g. by a ³H-thymidine incorporation assay, flow cytometry based assay, such as CFSE or other fluorochrome-based proliferation assay, or cell number. Markers of T cell activation after exposure to the relevant antigen can also be assayed, e.g. flow cytometry analysis of cell surface markers indicative of T cell activation (e.g. CD69, CD30, CD25, and HLA-DR). Reduced T cell activation in response to antigen-challenge is indicative of tolerance induction. Conversely, increased T cell activation in response to antigen-challenge is indicative of reduced tolerance.

Modulation of T cell tolerance can also be measured, in some embodiments, by determining the degree to which the modulating agent inhibits or increase the activity of its target. For example, the SEB model can be used to measure T cell tolerance and modulation thereof. In normal mice, neonatal injection of staphylococcal enterotoxin B (SEB) induces tolerance in T cells that express reactive T cell receptor (TCR) V beta regions. If, in the presence of an IL-27 or NFIL-3 modulating, T cells expressing reactive TCR V beta regions (e.g., Vbeta8) display a statistically significant reduction or increase in T cell activity than T cells not contacted with the modulating agent, the modulating agent is one that modulates T cell tolerance.

Other in vivo models of peripheral tolerance that can be used in some aspects and embodiments to measure modulation in T cell tolerance using the modulating agents described herein include, for example, models for peripheral tolerance in which homogeneous populations of T cells from TCR transgenic and double transgenic mice are transferred into hosts that constitutively express the antigen recognized by the transferred T cells, e.g., the H-Y antigen TCR transgenic; pigeon cytochrome C antigen TCR transgenic; or hemagglutinin (HA) TCR transgenic. In such models, T cells expressing the TCR specific for the antigen constitutively or inducibly expressed by the recipient mice typically undergo an immediate expansion and proliferative phase, followed by a period of unresponsiveness, which is reversed when the antigen is removed and/or antigen expression is inhibited. Accordingly, if, in the presence of one or more modulating agents, for example, in such models if the T cells proliferate or expand, show cytokine activity, etc. significantly more than T cells in the absence of the inhibitory agent, than that agent is one that reduces T cell tolerance. Such measurements of proliferation can occur in vivo using T cells labeled with BrDU, CFSE or another intravital dye that allows tracking of proliferation prior to transferring to a recipient animal expressing the antigen, or cytokine reporter T cells, or using ex vivo methods to analyze cellular proliferation and/or cytokine production, such as thymidine proliferation assays, ELISA, cytokine bead assays, and the like.

The invention also provides compositions and methods for modulating T cell balance. The invention provides T cell modulating agents that modulate T cell balance. For example, in some embodiments, the invention provides T cell modulating agents and methods of using these T cell modulating agents to regulate, influence or otherwise impact the level of and/or balance between T cell types, e.g., between Th17 and other T cell types, for example, regulatory T cells (Tregs). For example, in some embodiments, the invention provides T cell modulating agents and methods of using these T cell modulating agents to regulate, influence or otherwise impact the level of and/or balance between Th17 activity and inflammatory potential. As used herein, terms such as “Th17 cell” and/or “Th17 phenotype” and all grammatical variations thereof refer to a differentiated T helper cell that expresses one or more cytokines selected from the group the consisting of interleukin 17A (IL-17A), interleukin 17F (IL-17F), and interleukin 17A/F heterodimer (IL17-AF). As used herein, terms such as “Th1 cell” and/or “Th1 phenotype” and all grammatical variations thereof refer to a differentiated T helper cell that expresses interferon gamma (IFNγ). As used herein, terms such as “Th2 cell” and/or “Th2 phenotype” and all grammatical variations thereof refer to a differentiated T helper cell that expresses one or more cytokines selected from the group the consisting of interleukin 4 (IL-4), interleukin 5 (IL-5) and interleukin 13 (IL-13). As used herein, terms such as “Treg cell” and/or “Treg phenotype” and all grammatical variations thereof refer to a differentiated T cell that expresses Foxp3.

As used herein, terms such as “pathogenic Th17 cell” and/or “pathogenic Th17 phenotype” and all grammatical variations thereof refer to Th17 cells that, when induced in the presence of TGF-β3, express an elevated level of one or more genes selected from Cxcl3, IL22, IL3, Ccl4, Gzmb, Lrmp, Ccl5, Casp1, Csf2, Ccl3, Tbx21, Icos, IL17r, Stat4, Lgals3 and Lag, as compared to the level of expression in a TGF-β3-induced Th17 cells. As used herein, terms such as “non-pathogenic Th17 cell” and/or “non-pathogenic Th17 phenotype” and all grammatical variations thereof refer to Th17 cells that, when induced in the presence of TGF-β3, express a decreased level of one or more genes selected from IL6st, IL1rn, Ikzf3, Maf, Ahr, IL9 and IL10, as compared to the level of expression in a TGF-β3-induced Th17 cells.

Depending on the cytokines used for differentiation, in vitro polarized Th17 cells can either cause severe autoimmune responses upon adoptive transfer (‘pathogenic Th17 cells’) or have little or no effect in inducing autoimmune disease (‘non-pathogenic cells’) (Ghoreschi et al., 2010; Lee et al., 2012). In vitro differentiation of naïve CD4 T cells in the presence of TGF-β1+IL-6 induces an IL-17A and IL-10 producing population of Th17 cells, that are generally nonpathogenic, whereas activation of naïve T cells in the presence IL-1β+IL-6+IL-23 induces a T cell population that produces IL-17A and IFN-γ, and are potent inducers of autoimmune disease induction (Ghoreschi et al., 2010).

A dynamic regulatory network controls Th17 differentiation (See e.g., Yosef et al., Dynamic regulatory network controlling Th17 cell differentiation, Nature, vol. 496: 461-468 (2013); Wang et al., CD5L/AIM Regulates Lipid Biosynthesis and Restrains Th17 Cell Pathogenicity, Cell Volume 163, Issue 6, p1413-1427, 3 Dec. 2015; Gaublomme et al., Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity, Cell Volume 163, Issue 6, p1400-1412, 3 Dec. 2015; and Internationational publication numbers WO2016138488A2, WO2015130968, WO/2012/048265, WO/2014/145631 and WO/2014/134351 the contents of which are hereby incorporated by reference in their entirety).

Modulation of T cell tolerance can also be assessed by examination of tumor infiltrating lymphocytes or T lymphocytes within lymph nodes that drain from an established tumor. Such T cells exhibit features of “exhaustion” through expression of cell surface molecules, such as TIM-3, for example, and decreased secretion of cytokines such as interferon-γ. Accordingly, if, in the presence of an inhibitory agent, increased quantities of T cells with, for example, 1) antigen specificity for tumor associated antigens are observed (e.g. as determined by major histocompatibility complex class I or class II tetramers which contain tumor associated peptides) and/or 2) that are capable of secreting high levels of interferon-γ and cytolytic effector molecules such as granzyme-B, relative to that observed in the absence of the inhibitory agent, this would be evidence that T cell tolerance had been reduced.

Target Genes/Gene Products that Modulate T Cell Function/Dysfunction

Provided herein are target genes, gene products, and combinations thereof that are useful in modulating T cell dysfunction, particularly T cell exhaustion. Any of the target genes/gene products can be targeted alone or in any combination thereof. Also provided herein are novel gene signatures for detecting and isolating T cells having a particular phenotype, particularly dysfunctional T cells.

TABLE 1 Genes that modulate T cell function/dysfunction Bst2 NM_004335.3 SEQ ID NO: 3. Btla NM_001085357.1 SEQ ID NO: 4. Ccl9 NM_011338.2 SEQ ID NO: 5. (Mus Musculus) Ccr4 NM_005508.4 SEQ ID NO: 6. Cd40lg NM_011616.2 SEQ ID NO: 7. (Mus Musculus) Cxcr4 NM_001008540.1 SEQ ID NO: 8. Cpr65 NM_003608.3 SEQ ID NO: 9. Il33 NM_001199640.1 SEQ ID NO: 10. Klrc2 NM_002260.3 SEQ ID NO: 11. Klrd1 NM_001114396.1 SEQ ID NO: 12. Klre1 NM_153590.3 SEQ ID NO: 13. (Mus Musculus) Lif NM_001257135.1 SEQ ID NO: 14. Lpar3 NM_012152.2 SEQ ID NO: 15. Olfm1 NM_001282611.1 SEQ ID NO: 16. Pdpn NM_001006624.1 SEQ ID NO: 17. Ptpn3 NM_001145368.1 SEQ ID NO: 18. Sdc1 NM_001006946.1 SEQ ID NO: 19. Timp2 NM_003255.4 SEQ ID NO: 20. Tnfsf9 (4-1BB) NM_001561.5 SEQ ID NO: 21. Vldlr NM_001018056.1 SEQ ID NO: 22. Entpd1 NM_001098175.1 SEQ ID NO: 23. Il13ra1 NM_001560.2 SEQ ID NO: 24. Il6st NM_001190981.1 SEQ ID NO: 25. Inhba NM_002192.2 SEQ ID NO: 26. Lamp2 NM_001122606.1 SEQ ID NO: 27. Lap3 NM_015907.2 SEQ ID NO: 28. Ly75 NM_002349.3 SEQ ID NO: 29. Nampt NM_005746.2 SEQ ID NO: 30. Ccl5 NM_001278736.1 SEQ ID NO: 31. Cd83 NM_001040280.1 SEQ ID NO: 32. Klrk1 NM_007360.3 SEQ ID NO: 33. Sema7a NM_001146029.1 SEQ ID NO: 34. Serpinc1 NM_000488.3 SEQ ID NO: 35. Ccr2 NM_001123041.2 SEQ ID NO: 36. Ifitm1 NM_003641.3 SEQ ID NO: 37. Il12rb1 NM_001290023.1 SEQ ID NO: 38. Il1r1 NM_000877.3 SEQ ID NO: 39. Sdc4 NM_002999.3 SEQ ID NO: 40. Slamf7 NM_001282588.1 SEQ ID NO: 41. Tgfb3 NM_003239.3 SEQ ID NO: 42. Adam9 NM_003816.2 SEQ ID NO: 43. Cd93 NM_012072.3 SEQ ID NO: 44. Tigit NM 173799.3 SEQ ID NO: 45. Ccr5 NM_000579.3 SEQ ID NO: 46. Adam8 NM_001109.4 SEQ ID NO: 47. Cd68 NM_001040059.1 SEQ ID NO: 48. Isg20 NM_001303233.1 SEQ ID NO: 49. Il10 NM_000572.2 SEQ ID NO: 50. Il10ra NM_001558.3 SEQ ID NO: 51. Il21 NM_001207006.2 SEQ ID NO: 52. Il2rb NM_000878.3 SEQ ID NO: 53. Abca1 NM_005502.3 SEQ ID NO: 54. Alcam NM_001243280.1 SEQ ID NO: 55. Cysltr2 NM_001308465.1 SEQ ID NO: 56. Gcnt1 NM_001097633.1 SEQ ID NO: 57. Havcr2(Tim-3) NM_032782.4 SEQ ID NO: 58. Gabarapl1 NM_031412.2 SEQ ID NO: 59. Il2ra NM_000417.2 SEQ ID NO: 60. Spp1 NM_000582.2 SEQ ID NO: 61. Cxcl10 NM_001565.3 SEQ ID NO: 62. Ifitm3 NM_021034.2 SEQ ID NO: 63. Il1r2 NM_001261419.1 SEQ ID NO: 64. Lag3 NM_002286.5 SEQ ID NO: 65. Pglyrp1 NM_005091.2 SEQ ID NO: 66. Klrc1 NM_001304448.1 SEQ ID NO: 67. Procr NM_006404.4 SEQ ID NO: 68. Lilrb4 (ILT-3) NM_001278426.3 SEQ ID NO: 69. Lilrb4 (ILT-3) NM_001081438 SEQ ID NO: 70. Lilrb4 (ILT-3) NM_001278427 SEQ ID NO: 71. Lilrb4 (ILT-3) NM_001278428 SEQ ID NO: 72. Lilrb4 (ILT-3) NM_001278429 SEQ ID NO: 73. Lilrb4 (ILT-3) NM_001278430 SEQ ID NO: 74. Lilrb4 (ILT-3) NM_006847 SEQ ID NO: 75. Alcam (CD166) NM_001627 SEQ ID NO: 76. Alcam (CD166) NM_001243280 SEQ ID NO: 77. Alcam (CD166) NM_001243281 SEQ ID NO: 78. Alcam (CD166) NM_001243283 SEQ ID NO: 79. Angpt1 NM_001146 SEQ ID NO: 80. Angpt2 NM_001147 SEQ ID NO: 81. Angpt3 NM_004673 SEQ ID NO: 82. Angpt4 NM_015985 SEQ ID NO: 83. Angptl1 NM_004673 SEQ ID NO: 84. Angptl2 NM_012098 SEQ ID NO: 85. Angptl3 NM_014495 SEQ ID NO: 86. Angptl4 NM_139314 SEQ ID NO: 87. Angptl5 NM_178127 SEQ ID NO: 88. Angptl6 NM_031917 SEQ ID NO: 89. Angptl7 NM_021146 SEQ ID NO: 90. Angptl8 NM_018687 SEQ ID NO: 91.

In one embodiment, at least two target genes are modulated using a combination of inhibitors and/or activators as described herein. In one embodiment, the at least two target genes are selected from the gene pairs listed in Table 2. In one embodiment, one or more target genes to be modulated are positive regulators of T cell function as listed in Table 3. In another embodiment, the one or more target genes to be modulated are negative regulators of T cell function as listed in Table 4.

TABLE 3 Positive Regulators of T cell function Klrc2 Klre1 Tnfsf9 (4-1BB) Klrk1 Il12rb1 Il1r1 Slamf7

TABLE 4 Negative Regulators of T cell function Btla Tigit Havcr2(Tim-3) Lag3 Pdpn Il10ra Il1r2 Procr Lilrb4 Klrc1

In some embodiments, two or more target genes are modulated using two or more modulating agents as described herein. In some embodiments, at least three target genes are modulated; in other embodiments at least 4, at least 5, at least 6, at least 7, at least 8, at least 9, at least 10 or more target genes are modulated in the methods and/or compositions provided herein.

In some embodiments, at least one pair of target genes as listed in Table 2 is modulated in combination with at least one additional target gene as listed in Tables 1, 3, or 4.

In some embodiments, two or more target genes selected from Table 4 are modulated using two or more modulating agents as described herein.

As described herein, T cells isolated from a cancer environment express an IL-27 inhibitory gene module in which the expression and activity of a subset of co-inhibitory and co-stimulatory molecules are induced, as described in FIG. 6H and listed in Table 5.

Accordingly, in some embodiments, one or more target genes selected from Table 5 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as cancer. In some embodiments, two or more target genes selected from Table 5 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as cancer.

TABLE 5 Cancer Associated IL-27 driven molecules LAG3 PDPN PROCR SDC1 CTLA2A KLRE1 GPR65 KLRD1 IL33 OLFM1 KLRC2 PTPN3 TNFSF9 VLDLR CCR5 ADAM9 CYSLTR2 CCL9 LPAR3 CD93 ENTPD1 IFITM3 ADAM8 GABARAPL1 SPP1 IL1R2 PGLYRP1 IL2RA GCNT1 ALCAM TIGIT HAVCR2

As described herein, T cells isolated under conditions of a chronic viral infection express an IL-27 inhibitory gene module in which the expression and activity of a subset of co-inhibitory and co-stimulatory molecules are induced, as described in FIG. 6H and listed in Table 6.

Accordingly, in some embodiments, one or more target genes selected from Table 6 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as chronic infections. In some embodiments, two or more target genes selected from Table 6 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as chronic infections.

TABLE 6 Chronic Infection Associated IL-27 driven molecules LAG3 ADAM9 CD93 CYSLTR2 IL1R2 PGLYRP1 IL2RA ENTPD1 IFITM3 GCNT1 ALCAM TIGIT HAVCR2 IL13RA1 IL10 IL21 CCR2 IL10RB IL10RA CXCL10 CD68 KLKR1 LILRB4 IL12RB2 IL6ST IL7R LNHBA NAMPT S1PR1 LSG20 LAMP2 LY75

As described herein, T cells isolated under anergic conditions express an IL-27 inhibitory gene module in which the expression and activity of a subset of co-inhibitory and co-stimulatory molecules are induced, as described in FIG. 6H and listed in Table 7.

Accordingly, in some embodiments, one or more target genes selected from Table 7 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as conditions involving anergy. In some embodiments, two or more target genes selected from Table 7 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as conditions involving anergy.

TABLE 7 Anergy Associated IL-27 driven molecules LAG3 IL1R2 PGLYRP1 IL2RA CXCL10 CD68 KLKR1 CCL5 GABARAPL1 SPP1 TNFRSF8 ABCA1 SEMA7A CCR5

As described herein, T cells isolated under conditions of nasal tolerance express an IL-27 inhibitory gene module in which the expression and activity of a subset of co-inhibitory and co-stimulatory molecules are induced, as described in FIG. 6H and listed in Table 8.

Accordingly, in some embodiments, one or more target genes selected from Table 8 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity). In some embodiments, two or more target genes selected from Table 8 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity).

TABLE 8 Nasal Tolerance Associated IL-27 driven molecules LAG3 ADAM8 GABARAPL1 CYSLTR2 IL1R2 PGLYRP1 IL2RA ENTPD1 IFITM3 GCNT1 ALCAM TIGIT HAVCR2 SPP1 IL10 IL21 CCR2 IL1ORB IL1ORA CXCL10 TNFRSF8 ABCA1 IL12RB1 IL1R1 SDC4 IFITM1 SLAMF7 TGFB3

As described herein, T cells isolated under conditions of skin tolerance express an IL-27 inhibitory gene module in which the expression and activity of a subset of co-inhibitory and co-stimulatory molecules are induced, as described in FIG. 6H and listed in Table 9.

Accordingly, in some embodiments, one or more target genes selected from Table 9 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity). In some embodiments, two or more target genes selected from Table 9 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity).

TABLE 9 Skin Tolerance Associated IL-27 driven molecules LAG3 ALCAM TIGIT HAVCR2 IL10 IL21 IL13RA1 CCR5 CXCL10 CCL5 CTSB KLRC1 LPAR3 CCL9

In some embodiments, one or more target genes selected from Tables 8 and 9 are modulated using one or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity). In some embodiments, two or more target genes selected from Tables 8 and 9 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as conditions in which tolerance is to be induced (e.g., autoimmunity).

As described further herein, 1,392 genes were identified that were differentially expressed between WT CD4+ T cells stimulated in the presence or absence of IL-27. In certain embodiments differential expression of these genes may be used as a gene signature to identify or detect T cells with a dysfunctional phenotype. In other embodiments, differentially expressed genes may be modulated or targeted with an agent capable of modulating expression or activity of a gene. In certain preferred embodiments, genes that encode cell surface receptors or cytokines are targeted for modulation. Not being bound by a theory, cell surface receptors or cytokines facilitate targeting by a therapeutic agent. Not being bound by a theory, cell surface receptors or cytokines facilitate detection or isolation of cells without destroying the cell, such as by cell sorting, particularly FACS or magnetic sorting. Cell surface receptors or cytokines found to be differentially expressed between WT CD4+ T cells stimulated in the presence or absence of IL-27 are described in Table 10, FIGS. 6C and 6D. Table 10 lists the mouse and human gene names. The present invention may use the corresponding genes in any mammal, preferably human. Accordingly, in some embodiments, one or more target genes selected from Table 10 are modulated using one or more modulating agents as described herein for the treatment of certain disorders, such as cancer. In some embodiments, two or more target genes selected from Table 10 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as cancer.

TABLE 10 Up-regulated Down-Regulated TABLE 10a: Mouse genes encoding cell surface receptors and cytokines differentially expressed between WT CD4 + T cells stimulated in the presence or absence of IL-27 Abca1 Ifitm3 Lamp2 Bst2 Adam8 Il10 Lpar3 Btla Adam9 Il10ra Ly75 Ccl1 Alcam Il12rb1 Ly75 Ccr4 Ccl5 Il13ra1 Nampt Cd226 Ccl9 ItIrl Olfm1 Cd401g Ccl9 Il1r2 Pdpn Cd83 Ccl9 Il21 Pglyrp1 Cd8a Ccr2 Il2ra Procr Csf2 Ccr5 Il2rb Pstpip1 Cxcl13 Cd68 Il33 Ptpn3 Cxcr4 Cd93 Il6st Sdc1 Ifitm3 Cxcl10 Inhba Sdc4 Isg20 Cysltr2 Isg20 Sclp Lap3 Ddr1 Klrc2 Sema7a Lif Entpd1 Klrc2 Slamf7 Serpinc1 Entpd1 Klrc2 Spp1 Timp2 Epcam Klrc2 Tgfb3 Tnfsfl1 Gabarapl1 Klrc2 Tigit Gent1 Klrc2 Tnfrsf8 Gpr65 Klrd1 Tnfsf9 Havcr2 Klrk1 VIdlr Ifitm1 Lag3 TABLE 10b: Human genes encoding cell surface receptors and cytokines differentiallyexpressed between WT CD4 + T cells stimulated in the presence or absence of IL-27 ABCA1 IFITM1 LAMP2 BST2 ADAM8 IL10 LPAR3 BTLA ADAM9 IL10RA LY75-CD302 CCL1 ALCAM IL12RB1 LY75 CCR4 CCL5 IL13RA1 NAMPT CD226 CCL15 ILIR1 OLFM1 CD40LG CCL23 ILIR2 PDPN CD83 CCL15-CCL14 IL21 PGLYRP1 CD8A CCR2 IL2RA PROCR CSF2 CCR2 IL2RB PSTPIP1 CXCLI3 CD68 IL33 PTPN3 CXCR4 CD93 IL6ST SDC1 IFITM1 CXCL10 INHBA SDC4 ISG20 CYSLTR2 ISG20 SELP LAP3 DDR1 KLRC4-KLRK1 SEMA7A LIF ENTPD1 KLRC4 SLAMF7 SERPINC1 EPCAM KLRC1 SPP1 TIMP2 GABARAPL1 KLRC3 TGFB3 TNFSF11 GCNT1 KLRC2 TIGIT GPR65 KLRD1 TNFRSF8 HAVCR2 KLRK1 TNFSF9 IFITM1 LAG3 VLDLR *The up- and down-regulated genes were determined over a 96h time-course. Therefore the same gene can be both up-regulated and down-regulated at different time points along the differentiation.

As described herein, IL-27-signatures of up-regulated and down-regulated genes with overlapping expression in several different dysfunctional or tolerant T cell states were identified (Table 11, FIGS. 6G and 6H). Not being bound by a theory, T cells become exhausted after having cancer or chronic infection or become tolerant after prolonged exposure to antigens. Thus, in certain embodiments the identified genes may be used as a gene signature to identify or detect T cells with a dysfunctional phenotype. In other embodiments, the overlapping genes may be modulated or targeted with an agent capable of modulating expression or activity of a gene for the treatment of certain disorders, such as cancer. Accordingly, in some embodiments, one or more target genes selected from Table 11 are modulated using one or more modulating agents as described herein. In some embodiments, two or more target genes selected from Table 11 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as cancer. In some embodiments, genes that are up-regulated in Table 11 are modulated by down-regulation of expression or activity. In some embodiments, genes that are down-regulated in Table 11 are modulated by up-regulation of expression or activity.

TABLE 11 a: IL-27-signature of up-regulated mouse genes expressed in several different dysfunctional or tolerant T cell states. 1700012B09Rik Cdh17 Ets1 Havcr2 Klrc2 Nfia Rab31 Sqrdl AA467197 Cdk6 Etv6 Hhat Klrc2 Nfil3 Ramp3 Srgap3 Abca1 Cdkn2d F2rl1 Hhex Klrd1 Nkg7 Rbp1 Stat1 Abcb9 Cds2 Fam129b Hif1a Klre1 Oas2 Rfk Stat3 Acadl Cebpd Fam20a Hix Klrk1 Ociad2 Rgs1 Stom Adam19 Cela1 Fbxw7 Hopx Ksr1 Oit3 Rhoc Styk1 Adam8 Cercam Ffar2 Hpse Lag3 Olfm1 Rhoq Syt11 Adam9 Chac1 Fgl2 Id2 LamaS Ormdl3 Ripk3 Tbx21 Agpat3 Chit1 Fhit Ier3 Lamp2 Osr2 Rnf125 Tcp11l2 Ahnak Chm Filip1 Ifih1 Lat2 Ovol2 Rnh1 Tgfb3 Ahr Chst11 Flot1 Ifitm1 Lgals3 Padi2 Rorc Tigit Ahr Chst2 Fndc3a Ifitm3 Lgals3bp Parp14 Runx2 Timp1 Ak1 Clip3 Frmd4b Igf2bp2 Lilrb4 Pdpn S100a4 Tmcc3 Akr1b8 Clybl Gabarapl1 Il10 Litaf Pfkp S100a6 Tnfrsf8 Akr1b8 Cnih2 Galc Il10ra Lpar3 Pglyrp1 Sccpdh Tnfsf9 Akt2 Copz2 Gatm Il12rb1 Lpxn Phactr2 Sdc1 Tor2a Alcam Creb3l2 Gbe1 Il13ra1 Lrrk1 Pik3ap1 Sdc4 Tpbg Aldoc Ctla2a Gbp3 Il1r1 Ltbp3 Piwil2 Sdcbp2 Tpd52 Anxa2 Cxcl10 Gbp3 Il1r2 Ly75 Pkp2 Sec24d Trib3 Anxa3 Cysltr1 Gbp6 Il21 Ly75 Plac8 Selenbp1 Tspan4 Aplp1 Cysltr2 Gcnt1 Il2ra Maf Plekhf1 Selm Tspan5 Aqp9 Dapk2 Gem Il2rb Map3k5 Plekho2 Selp Ttc39b Arfgap3 Dclk1 Gemin8 Il33 Med12l Plekho2 Sema7a Ttc39c Arhgap18 Ddr1 Gfra1 Il6st Mettl7a1 Plod2 Serpinb1a Tubb6 Arl5a Dhx58 Gimap7 Impa2 Mmp15 Ppme1 Serpinb6b Tulp4 Armcx3 Dock9 Gja1 Inhba Ms4a6d Ppp1r3b Serpinb9 Ubac2 Asb2 Dst Glg1 Irf1 Ms4a6d Pqlc3 Serpinf1 Upp1 Atf6 E330009J07Rik Glrx Irf4 Mt1 Prdm1 Sigirr Usp18 Atp6v0d2 Eaf2 Gmfg Irf8 Mt1 Prex1 Skap2 Usp18 Auh Ecm1 Gmppa Irf9 Mt1 Prf1 Slamf7 Vldlr Bcl2l15 Egln3 Gnb5 Isg15 Mt1 Procr Slc2a3 Wdr54 Bnip3 Elmo2 Gnpda2 Isg20 Mt1 Prss2 Slc2a3 Wdr81 C3 Emilin2 Golga7 Jun Mt1 Prss2 Slc39a14 Zbp1 Ccl5 Emp1 Gpm6b Junb Mt2 Prss2 Slc41a2 Zeb2 Ccl9 Enpp2 Gpr65 Kctd11 Mxd1 Psmb9 Slc4a11 Zfp36 Ccl9 Entpd1 Gpt2 Klf10 Mxi1 Pstpip1 Slc7a3 Ccl9 Entpd1 Gsn Klhl24 Nampt Ptpn1 Sord Ccr2 Epcam Gsn Klrc2 Ndrg1 Ptpn3 Sox5 Ccr5 Ern1 Gsn Klrc2 Neb Pygl Spats2 Cd68 Ero1l Gzmb Klrc2 Nedd4 Rab11fip5 Spp1 Cd93 Errfi1 Gzmc Klrc2 Nek6 Rab27a Sqrdl b: IL-27-signature of down-regulated mouse genes expressed in several different dysfunctional or tolerant T cell states. Aatf Cd40lg Dph5 Gucy1b3 Lrig1 Phb Rrs1 Taf1d Adi1 Cd83 Dus4l Hells Marcksl1 Phlda1 Rtp4 Timm9 Agpat5 Cd8a Egr3 Hist2h3c1 Mettl1 Pkp4 Sema4b Timp2 Akr1c18 Cdk5r1 Eomes Id3 Mmachc Pmepa1 Sema4c Tm4sf5 Akr1c18 Chd9 Fam26f Idi2 Mpeg1 Prkcdbp Serpinb6b Tmem97 Akr1c18 Cnksr3 Fhit Ifih1 Mtap Prmt1 Serpinb9 Tnfaip8 Akr1c18 Cnn3 Ftsj3 Ifitm3 Myb Prmt3 Serpinc1 Tnfsf11 Atp2a3 Cpd Galnt6 Ipcef1 Ndufa4 Pter Sh3bp5 Top1mt Bst2 Crtam Gch1 Irf6 Ndufaf4 Ptger4 Shmt1 Trat1 Btla Cse1l Gemin4 Irgm1 Nhp2 Pus7l Slamf6 Trip13 Cacna1a Csf2 Gfi1 Isg20 Noc4l Rcl1 Slamf9 Trpm1 Cadm1 Cxcl13 Gnaq Kbtbd8 Nolc1 Rcsd1 Slc19a1 Tsr2 Camkk2 Cxcr4 Gnl3 Klf10 Nop16 Rfc4 Snhg7 Ttc27 Capn3 D930015E06Rik Gpatch4 Kti12 Nop2 Rnmtl1 Snhg7 Umps Ccdc86 Dapl1 Gpd1l Lad1 Nop56 Rpp14 Snhg7 Utp20 Ccl1 Ddit4 Gramd1b Lap3 Nr4a3 Rpp40 St6gal1 Wdr77 Ccr4 Ddx18 Grwd1 Lgals3bp Pde7a Rragd St8sia4 Zbtb10 Cd226 Dennd5a Gucy1a3 Lif Pde8a Rrp15 Stc2 Zfp608 c: IL-27-signature of up-regulated human genes expressed in several different dysfunctional or tolerant T cell states. ABCA1 CD93 ETS1 HAVCR2 KLRC2 NEDD4 PYGL SPATS2 ABCB9 CDH17 ETV6 HHAT KLRC3 NEK6 RAB11FIP5 SPP1 ACADL CDK6 F2RL1 HHEX KLRC4 NFIA RAB27A SQRDL ADAM19 CDKN2D FAM129B HIF1A KLRC4-KLRK1 NFIL3 RAB31 SRGAP3 ADAM8 CDS2 FAM20A HLX KLRD1 NKG7 RAMP3 STAT1 ADAM9 CEBPD FBXW7 HOPX KLRK1 OAS2 RBP1 STAT3 AGPAT3 CELA1 FFAR2 HPSE KSR1 OCIAD2 RFK STOM AHNAK CERCAM FGL2 ID2 LAG3 OIT3 RGS1 STYK1 AHR CHAC1 FHIT IER3 LAMA5 OLFM1 RHOQ SYT11 AK1 CHIT1 FILIP1 IFIH1 LAMP2 ORMDL3 RIPK3 TBX21 AKR1B10 CHM FLOT1 IFITM1 LAT2 OSR2 RNF125 TCP11L2 AKR1B15 CHST11 FNDC3A IFITM1 LGALS3 OVOL2 RNH1 TGFB3 AKT2 CHST2 FRMD4B IGF2BP2 LGALS3BP PADI2 RORC TIGIT ALCAM CLIP3 GABARAPL1 IL10 LITAF PARP14 RUNX2 TIMP1 ALDOC CLYBL GALC IL10RA LPAR3 PDPN S100A4 TMCC3 ANXA2 CNIH2 GATM IL12RB1 LPXN PFKP S100A6 TNFRSF8 ANXA3 COPZ2 GBE1 IL13RA1 LRRK1 PGLYRP1 SCCPDH TNFSF9 APLP1 CREB3L2 GBP4 IL1R1 LTBP3 PHACTR2 SDC1 TOR2A AQP9 CXCL10 GBP6 IL1R2 LY75 PIK3AP1 SDC4 TPBG ARFGAP3 CYSLTR1 GBP7 IL21 LY75-CD302 PIWIL2 SDCBP2 TPD52 ARHGAP18 CYSLTR2 GCNT1 IL2RA MAF PKP2 SEC24D TRIB3 ARL5A DAPK2 GEM IL2RB MAP3K5 PLAC8 SELENBP1 TSPAN4 ARMCX3 DCLK1 GEMIN8 IL33 MED12L PLEKHF1 SELP TSPAN5 ASB2 DDR1 GFRA1 IL6ST METTL7A PLEKHO2 SEMA7A TTC39B ATF6 DHX58 GIMAP7 IMPA2 MMP15 PLOD2 SERPINB1 TTC39C ATP6V0D2 DOCK9 GJA1 INHBA MS4A6A PPME1 SERPINB6 TUBB6 AUH DST GLG1 IRF1 MS4A6E PPP1R3B SERPINB9 TULP4 BCL2L15 EAF2 GLRX IRF4 MT1B PQLC3 SERPINF1 UBAC2 BNIP3 ECM1 GMFG IRF8 MT1E PRDM1 SIGIRR UPP1 C11orf97 EGLN3 GMPPA IRF9 MT1F PREX1 SKAP2 USP18 C15orf48 ELMO2 GNB5 ISG15 MT1G PRF1 SLAMF7 USP41 C3 EMILIN2 GNPDA2 ISG20 MT1M PROCR SLC2A14 VLDLR CCL15 EMP1 GOLGA7 JUN MT1X PRSS1 SLC2A3 WDR54 CCL15-CCL14 ENPP2 GPM6B JUNB MT2A PRSS2 SLC39A14 WDR81 CCL23 ENTPD1 GPR65 KCTD11 MXD1 PRSS3 SLC41A2 ZBP1 CCL5 EPCAM GPT2 KIAA1147 MXI1 PSMB9 SLC4A11 ZEB2 CCR2 ERN1 GSN KLF10 NAMPT PSTPIP1 SLC7A3 ZFP36 CCR2 ERO1A GZMB KLHL24 NDRG1 PTPN1 SORD CD68 ERRFI1 GZMB KLRC1 NEB PTPN3 SOX5 d: IL-27-signature of down-regulated human genes expressed in several different dysfunctional or tolerant T cell states. AATF CD40LG EGR3 HIST2H3C LRIG1 PDE8A RRS1 TIMP2 ADI1 CD83 EOMES ID3 MARCKSL1 PHB RTP4 TM4SF5 AGPAT5 CD8A FAM26F IDI2 METTL1 PHLDA1 SEMA4B TMEM97 AKR1C1 CDK5R1 FHIT IFIH1 MMACHC PKP4 SEMA4C TNFAIP8 AKR1C2 CHD9 FTSJ3 IFITM1 MPEG1 PMEPA1 SERPINB6 TNFSF11 AKR1C3 CNN3 GALNT6 IPCEF1 MRM3 PRKCDBP SERPINB9 TOP1MT AKR1C4 CPD GCH1 IPCEF1 MTAP PRMT1 SERPINC1 TRAT1 ATP2A3 CRTAM GEMIN4 IRF6 MYB PRMT3 SH3BP5 TRIP13 BST2 CSE1L GFI1 IRGM NDUFA4 PTER SHMT1 TRPM1 BTLA CSF2 GNAQ ISG20 NDUFAF4 PTGER4 SLAMF6 TSR2 CACNA1A CXCL13 GNL3 KBTBD8 NHP2 PUS7L SLAMF9 TTC27 CADM1 CXCR4 GPATCH4 KIAA0922 NOC4L RCL1 SLC19A1 UMPS CAMKK2 DAPL1 GPD1L KLF10 NOLC1 RCSD1 SNORA17B UTP20 CAPN3 DDIT4 GRAMD1B KTI12 NOP16 RFC4 ST6GAL1 WDR77 CCDC86 DDX18 GRWD1 LAD1 NOP2 RPP14 ST8SIA4 ZBTB10 CCL1 DENND5A GUCY1A3 LAP3 NOP56 RPP40 STC2 ZNF608 CCR4 DPH5 GUCY1B3 LGALS3BP NR4A3 RRAGD TAF1D CD226 DUS4L HELLS LIF PDE7A RRP15 TIMM9

As described herein, genes were identified that were up-regulated in response to IL-27 signaling and overlap with dysfunctional CD8⁺ T cell signatures from cancer and chronic viral infection (Table 12, FIG. 6K). Not being bound by a theory, these genes may be negative regulators of T cell function or be regulators of the T cell dysfunctional program and are targets for modulation. Down-regulation of the genes that are up-regulated in response to IL-27 signaling may result in an enhanced immune response and reactivation of exhausted T cells. Thus, in certain embodiments the identified genes may be used as a gene signature to identify or detect T cells with a dysfunctional phenotype. In other embodiments, the overlapping genes may be modulated or targeted with an agent capable of modulating expression or activity of a gene for the treatment of certain disorders, such as cancer. Accordingly, in some embodiments, one or more target genes selected from Table 12 are modulated using one or more modulating agents as described herein. In some embodiments, two or more target genes selected from Table 12 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as cancer. In preferred embodiments, genes selected from Table 12 are modulated by downregulation of expression or activity.

TABLE 12 Genes up-regulated under IL-27 signaling that overlap between dysfunctional CD8 + T cell signatures from cancer and chronic viral infection. Il33 Adam8 Isg20 Cysltr2 Klrc2 Lpar3 Lamp2 Entpd1 Klrd1 Ccl9 Ly75 Gcnt1 Klre1 Cxcl10 Nampt Ifitm3 Olfm1 Ccr2 S1pr1 Il2ra Pdpn Il10ra Il21 Pglyrp1 Ptpn3 Il2rb Il13ra1 Cd93 Sdc1 Cd68 Tigit Adam9 Tnfsf9 Klrk1 Ccr5 Lilrb4 Vldlr Il12rb2 Alcam IL-10 Procr Il6st Havcr2 Ctla2a Gabarapl1 Il7r Lag3 Gpr65 Spp1 Inhba Il1r2

As described herein, genes were identified that are enriched in a population of dysfunctional CD8⁺ T cells that had high scores for the disclosed signature associated with IL-27 signaling (i.e. the gene expression signature shown in Table 11). Not being bound by a theory, these genes may be negative regulators of CD8⁺ T cell function or be regulators of the T cell dysfunctional program and are targets for modulation. Down-regulation of the genes that are up-regulated in CD8⁺ T cells bearing an IL-27 signaling signature may result in an enhanced immune response and reactivation of exhausted T cells. Thus, described herein are genes that were identified as up-regulated or down-regulated in CD8⁺ TILs which exhibited expression signatures similar to those associated with IL-27 signaling (Table 13). Not being bound by a theory, up-regulation of the genes that are down-regulated in CD8⁺ T cells bearing an IL-27 signaling signature may result in an enhanced immune response and reactivation of exhausted T cells. Thus, in certain embodiments the enriched genes may be used as a gene signature to identify or detect CD8⁺ T cells with a dysfunctional phenotype. In other embodiments, the enriched genes may be modulated or targeted with an agent capable of modulating expression or activity of a gene for the treatment of certain disorders, such as cancer. Accordingly, in some embodiments, one or more target genes selected from Table 13 are modulated using one or more modulating agents as described herein. In some embodiments, two or more target genes selected from Table 13 are modulated using two or more modulating agents as described herein, for the treatment of certain disorders, such as cancer. In preferred embodiments, up-regulated genes selected from Table 13a are modulated by down-regulation of expression or activity. In preferred embodiments, down-regulated genes selected from Table 13b are modulated by up-regulation of expression or activity.

TABLE 13 a: Up-regulated mouse genes that were in enriched in CD8+ TILs with high score for the IL-27 signature 5-Mar Ccdc127 Evi2b H2-Q2 Lrrc58 Pdxdc1 Sh2d2a Tsc22d4 1600014C10Rik Ccdc82 Fam102a H2-Q4 Lrrn4cl Phc3 Sh3glb1 Ttc39b 1700017B05Rik Ccdc88c Fam149b H2-Q4 Luc7l2 Phf1 Sipa1l1 Tyr 2810474O19Rik Ccl5 Fam189b H2-Q4 Luc7l2 Phf20l1 Skil Uba7 4932438A13Rik Ccni Fam65b H2-Q4 Macf1 Pigv Sla2 Ube2h A230046K03Rik Ccr5 Fam65b H2-Q4 Maoa Pik3cg Slc35e2 Ubr4 Aak1 Cd244 Fcho1 H2-Q4 Map3k1 Pik3r1 Slc35e2 Ulk3 Abcb1a Cd300a Fgl2 H2-T10 Mbd4 Pitpnc1 Slc7a14 Unkl Abcg1 Cd300a Fli1 H2-T10 Mcmdc2 Plcg1 Slc9a9 Usp48 Abr Cd38 Fmnl1 H2-T10 Mfap1a Pnpla7 Slfn5 Usp9x Abt1 Cdc14b Foxn3 H2-T10 Mfsd11 Pot1b Slfn8 Utp23 Acad9 Cdkn1b Fryl H2-T10 Mgea5 Ppm1k Slfn8 Utrn Acsbg1 Celf2 Fut8 H2-T10 Mier1 Ppp1r12a Soat2 Vasp Adam19 Chrna1 Fyco1 Hdac4 Miip Ppp1r12b Son Vps13a Adar Cic Gabpb2 Herc1 Milr1 Ppp1r16b Sorl1 Vps37b Adcy7 Cnppd1 Gak Hip1 Mplkip Ppp1r18 Spata13 Vps54 Ahnak Colec12 Galnt2 Hipk1 Mpv17 Ppp3cc Spata13 Wasf2 Akap13 Cpne8 Gbp7 Hmha1 Mpv17l Prex1 Spn Wbp2 Akna Crebbp Gbp7 Hnrnpd Mpv17l Prrc2b Srrm2 Wdr34 Alox8 Csnk1g1 Gbp9 Hnrnpl Mtfmt Prrc2c Stim1 Wdr92 Ankrd11 Ctcfl Ggnbp2 Ifnar1 Mtmr1 Ptpn22 Stk10 Whsc1l1 Ankrd12 Ctsa Ghdc Ifngr1 Myh9 Purb Stxbp2 Wipf1 Ankrd13a Ctsd Gimap3 Igf2r Myo1f Pxmp4 Suv420h1 Wnk1 Ankrd44 Ctsd Gimap3 Ikbip Mysm1 Rab33b Syne1 Wtap Ankrd44 Cxcr2 Gimap4 Il16 Nabp1 Rapgef6 Synj2bp Xaf1 Aplf Cxcr6 Gimap6 Intu Nbeal2 Rapgef6 Sytl2 Xiap Arhgef1 Cybrd1 Gimap8 Irak1 Nbr1 Rassf2 Tab2 Xiap Arid1a Cyld Gjc3 Irak2 Ncoa3 Rbm41 Tacc1 Xpo7 Arid4a Cytip Gje1 Irf2bpl Ncor1 Rbm5 Tbc1d14 Yipf4 Arid4b Dcaf10 Glrx2 Itga4 Neu3 Rdh1 Tbc1d24 Ypel5 Arid5a Dclre1c Gm11127 Itgal Neurl3 Rgs1 Tecpr1 Zbtb44 Arl4c Ddx58 Gm11127 Itgav Nktr Rgs3 Tet2 Zc3h12a Arsb Decr2 Gm11127 Kansl1 Nlrc5 Ripply3 Tigit Zc3hav1 Ash1l Dennd1c Gm11127 Kdm5a Nlrp1a Rmi2 Tmem127 Zcchc11 Asxl2 Dennd4a Gm11127 Kif21b Nmrk1 Rnf139 Tmem63a Zcchc6 Atf7 Dgat1 Gm11127 Klf13 Notch1 Rnf166 Tmem69 Zfp113 Atp2b1 Dgka Gm7102 Klf6 Npc2 Rnf167 Tmem88b Zfp202 Atp2b4 Dnajc14 Gmeb1 Klrc2 Nsd1 Rnf168 Tmf1 Zfp277 Atxn1 Dock10 Gng2 Klrc2 Nsl1 Rock1 Tnfrsf10b Zfp316 Azi2 Dock2 Gpsm3 Klrc2 Nup210 Rprd2 Tnfrsf10b Zfp36l2 B4galnt2 Dtx3l Grap2 Klrc2 Oas3 Rsbn1l Tnfrsf10b Zfp488 Baiap3 Dusp11 Grina Klrc2 Olfr1033 Runx2 Tnfrsf10b Zfp605 Bcl11b Dusp5 Grk4 Klrc2 Omd Runx3 Tnfsf10 Zfp781 Birc6 E030030I06Rik Grk6 Lbh Osbpl3 S1pr4 Tnrc6a Zfp9 Bnip3l Eif2ak2 Gsk3b Ldb1 P2ry10 Samhd1 Tnrc6b Zmym5 Brip1 Elf1 Gtdc1 Leng8 Padi2 Sap18 Tor4a Zmynd8 Btbd16 Entpd1 Gzmk Lime1 Pak2 Sec62 Tprkb Zscan26 Camk4 Entpd1 H2-Q2 Lime1 Pan3 Selplg Trappc9 Zyg11b CarSb Ep300 H2-Q2 Lipi Pced1b Serinc3 Trim12c Casc4 Ep400 H2-Q2 Lnpep Pcnt Serpina3i Trim65 Cbfa2t2 Epsti1 H2-Q2 Loxl2 Pdcd4 Serpina3i Trp53i11 Cblb Ets1 H2-Q2 Lpp Pde3b Sfi1 Trp53inp1 b: Up-regulated mouse cell surface and cytokine genes that were in enriched in CD8+ TILs with high score for the IL-27 signature Cast Cd200r1 Csf1 Flot2 Il12rb2 Klrc1 Ncor2 Smpd1 Ccl3 Cd200r1 Ctla4 Gpi1 Il18rap Klrc1 Nrp1 Spn Ccl3 Cd200r4 Ctsb Gpr160 Irak2 Klrc1 Pdcd1 Tnfrsf9 Ccl3 Cd200r4 Cx3cr1 Hcst Itga4 Klrc1 Pear1 Trpv2 Ccl4 Cd244 Cxcr6 Icos Itgal Klrc1 Selplg Ccrl2 Cd38 Erp44 Ifng Itgav Klrc1 Sema4d Cd164 Cd3g Fasl Ifngr1 Itgb2 Lgals1 Serpine2 Cast Cd200r1 Csf1 Flot2 Il12rb2 Klrc1 Ncor2 c: Up-regulated human genes that were in enriched in CD8+ TILs with high score for the IL-27 signature 5-Mar CCDC127 FAM149B1 HLA-C LRRN4CL PDXDC1 SH3GLB1 UBA7 AAK1 CCDC82 FAM189B HLA-C LUC7L2 PHC3 SIPA1L1 UBE2H ABCB1 CCDC88C FAM65B HLA-E MACF1 PHF1 SKIL UBR4 ABCG1 CCL5 FCHO1 HLA-E MAOA PHF20L1 SLA2 ULK3 ABR CCNI FGL2 HLA-E MAP3K1 PIGV SLC35E2 UNKL ABT1 CCR2 FLI1 HLA-E MBD4 PIK3CG SLC35E2B USP48 ACAD9 CD244 FMNL1 HLA-F MCMDC2 PIK3R1 SLC7A14 USP9X ACSBG1 CD300A FOXN3 HLA-F MFAP1 PITPNC1 SLC9A9 UTP23 ADAM19 CD300C FRYL HLA-F MFSD11 PLCG1 SLFN11 UTRN ADAR CD38 FUT8 HLA-F MGEA5 PNPLA7 SLFN13 VASP ADCY7 CDC14B FYCO1 HLA-G MIER1 POT1 SLFN5 VPS13A AHNAK CDK6 GABPB2 HLA-G MIIP PPM1K SOAT2 VPS37B AKAP13 CDKN1B GAK HLA-G MILR1 PPP1R12A SON VPS54 AKNA CELF2 GALNT2 HLA-G MPLKIP PPP1R12B SORL1 WASF2 ALOX15B CHRNA1 GBP4 HNRNPD MPLKIP PPP1R16B SPATA13 WBP2 ANKRD11 CIC GBP6 HNRNPL MPV17 PPP1R18 SPN WDR34 ANKRD12 CNPPD1 GBP7 IFNAR1 MPV17L PPP3CC SRRM2 WDR92 ANKRD13A COLEC12 GGNBP2 IFNGR1 MTFMT PREX1 STIM1 WHSC1L1 ANKRD44 CPNE8 GHDC IGF2R MTMR1 PRRC2B STK10 WIPF1 APLF CREBBP GIMAP1-GIMAP5 IKBIP MYH9 PRRC2C STXBP2 WNK1 ARHGAP45 CSNK1G1 GIMAP4 IL16 MYO1F PTPN22 SYNE1 WTAP ARHGEF1 CTCFL GIMAP5 INTU MYSM1 PURB SYNJ2BP XAF1 ARID1A CTSA GIMAP6 IRAK1 NABP1 PXMP4 SYTL2 XIAP ARID4A CTSD GIMAP8 IRAK2 NBEAL2 RAB33B TAB2 XPO7 ARID4B CXCR2 GJC3 IRF2BPL NBR1 RAPGEF6 TACC1 YIPF4 ARID5A CXCR6 GJE1 ITGA4 NCOA3 RASSF2 TBC1D14 YPEL5 ARL4C CYBRD1 GLRX2 ITGAL NCOR1 RBM41 TECPR1 ZBTB44 ARSB CYLD GMEB1 ITGAV NEU3 RBM5 TET2 ZC3H12A ASH1L CYTIP GNG2 KANSL1 NEURL3 RDH16 TIGIT ZC3HAV1 ASXL2 DCAF10 GPSM3 KDM5A NKTR RGS1 TMEM127 ZCCHC11 ATF7 DCLRE1C GRAP2 KIAA1033 NLRC5 RGS3 TMEM63A ZCCHC6 ATP2B1 DDX58 GRINA KIAA1109 NLRP1 RIPPLY3 TMEM69 ZFP36L2 ATP2B4 DECR2 GRK4 KIAA1551 NMRK1 RMI2 TMEM88B ZMYM5 ATXN1 DENND1C GRK6 KIF21B NOTCH1 RNF139 TMF1 ZMYND8 AZI2 DENND4A GSK3B KLF13 NPC2 RNF166 TNFRSF10A ZNF202 B4GALNT2 DGAT1 GTDC1 KLF6 NSD1 RNF167 TNFRSF10B ZNF25 BAIAP3 DGKA GZMK KLRC1 NSL1 RNF168 TNFRSF10C ZNF277 BCL11B DOCK10 HDAC4 KLRC2 NTN3 ROCK1 TNFRSF10D ZNF3 BIRC6 DOCK2 HERC1 KLRC3 NUP210 RPRD2 TNFSF10 ZNF316 BIRC8 DTX3L HIP1 KLRC4 OAS3 RSBN1L TNRC6A ZNF488 BNIP3L DUSP11 HIPK1 KLRC4-KLRK1 OMD RUNX2 TNRC6B ZNF605 BRIP1 DUSP5 HLA-A KMT5B OR5M3 RUNX3 TOR4A ZNF781 BTBD16 EIF2AK2 HLA-A LBH OSBPL3 S1PR4 TP53I11 ZSCAN26 C15orf39 ELF1 HLA-A LDB1 P2RY10 SAMHD1 TP53INP1 ZYG11B C19orf12 ENTPD1 HLA-A LENG8 PADI2 SAP18 TPRKB C7orf55-LUC7L2 EP300 HLA-B LIME1 PAK2 SEC62 TRAPPC9 CA5B EP400 HLA-B LIPI PAN3 SELPLG TRIM5 CAMK4 EPSTI1 HLA-B LNPEP PCED1B SERINC3 TRIM65 CASC4 ETS1 HLA-B LOXL2 PCNT SERPINA3 TSC22D4 CBFA2T2 EVI2B HLA-C LPP PDCD4 SFI1 TTC39B CBLB FAM102A HLA-C LRRC58 PDE3B SH2D2A TYR d: Up-regulated human cell surface and cytokine genes that were in enriched in CD8+ TILs with high score for the IL-27 signature CAST CD200R1 CSF1 FLOT2 IL12RB2 KLRC1 NRP1 SPN CCL18 CD200R1 CTLA4 GPI IL18RAP KLRC2 PDCD1 TNFRSF9 CCL3 CD200R1L CTSB GPR160 IRAK2 KLRC3 PEAR1 TRPV2 CCL3L3 CD200R1L CX3CR1 HCST ITGA4 KLRC4 SELPLG CCL4 CD244 CXCR6 ICOS ITGAL KLRC4-KLRK1 SEMA4D CCRL2 CD38 ERP44 IFNG ITGAV LGALS1 SERPINE2 CD164 CD3G FASLG IFNGR1 ITGB2 NCOR2 SMPD1 e: Down-regulated mouse genes that were in enriched in CD8+ TILs with high score for the IL-27 signature 1810022K09Rik Cdk4 Eif5a Iars Ndufa4 Polr2h Rpn1 Tcp1 2810004N23Rik Cebpz Eif5a Idh3a Ndufab1 Polr2j Rpn2 Tex30 Aatf Chchd1 Eif6 Il2ra Ndufaf2 Ppa1 Rps19bp1 Tfdp1 Abce1 Chchd2 Eif6 Imp4 Ndufb4 Ppan Rps27l Tfrc Abcf2 Chchd4 Emc2 Impdh2 Ndufb6 Ppan Rrp1 ThocS Adpgk Cinp Emc6 Ipo4 Ndufc2 Ppat Rrp15 Thumpd3 Adrm1 Cirh1a Eno3 Ipo5 Ndufc2 Ppib Rrp9 Thyn1 Aen Cisd1 Enoph1 Jtb Ndufs3 Ppid Rrs1 Timm10 Aga Cks1b Erh Kars Ndufs8 Ppie Rsl1d1 Timm13 Ahcy Clns1a Exosc1 Kpna2 Ndufv1 Ppif Rsl24d1 Timm17a Aifm1 Cluh Exosc5 Kti12 Ndufv2 Ppp5c Ruvbl1 Timm23 Akr7a5 Cops3 Exosc7 Lad1 Nfkbia Prdx1 Ruvbl2 Timm23 Aldh18a1 Cops6 Fam136a Lap3 Nfkbib Prdx4 Samm50 Timm50 Aldh9a1 Cox6b1 Fam162a Ldha Nhp2 Prelid1 Sarnp Timm8a1 Alg8 Cox7c Fam96a Letm1 Nhp2l1 Prmt1 Sdf2l1 Tkt Anapc1S Crtam Fbl Llph Nme1 Prmt5 Sdhaf1 Tma16 Anapc5 Cse1l Fdps Lsm2 Nme2 Prmt7 Sec13 Tma7 Anp32e Ctps Fdx1l Lsm7 Nob1 Prps1 Sec61b Tmed2 Apex1 Ctsz Fdx1l Lta Noc4l Psat1 Serbp1 Tmem14c Api5 Cyc1 Fkbp1a Lyar Nolc1 Psma2 Set Tmem14c Aprt Cycs Fkbp2 M6pr Nop10 Psma2 Set Tmem97 Arf1 Dad1 Fkbp4 Magoh Nop16 Psma3 Sf3b5 Tnfrsf9 Atad3a Dapl1 Ftsj3 Manf Nop2 Psmb5 Sfxn1 Tomm22 Atad3a Dars G3bp1 Mat2a Nop56 Psmb6 Shmt1 Tomm40 Atad3a Dbi Gadd45b Mcm2 Nop58 Psmc5 Shmt2 Tomm5 Atp5a1 Dctpp1 Gars Mcm3 Nsun2 Psmd11 Siva1 Tpi1 Atp5b Ddb1 Gart Mcm5 Ntmt1 Psmd3 Skp1a Trp53 Atp5e Ddx1 Gcsh Mcm7 Nudc Psmd6 Skp1a Tsr1 Atp5e Ddx18 Gfer Med11 Nudt19 Psmd7 Slc19a1 Tuba1b Atp5g1 Ddx21 Gins2 Mettl1 Nudt21 Psmg1 Slc1a5 Tubg1 Atp5g2 Ddx27 Gnl3 Mif Nudt5 Psmg2 Slc25a39 Tufm Atp5g3 Ddx39 Gpatch4 Mphosph6 Nup54 Ptbp1 Smyd2 Txn1 Atp5j Dkc1 Gps1 Mrpl12 Nup62 Ptges3 Smyd5 Txn2 Atp5j2 Dnajb11 Gpx1 Mrpl20 Nutf2-ps1 Ptpn6 Snrpa1 Txnl4a Atp5k Dnajc19 Gramd1b Mrpl23 Ost4 Pus1 Snrpd1 U2af1 Atpif1 Dohh Grwd1 Mrpl23 Ostc Pusl1 Snrpd3 U2af1 Banf1 Dpagt1 Gtf2f2 Mrpl28 P4hb Pwp2 Snrpe Uchl3 Bcap29 Dpy30 Gtf2h1 Mrpl3 Pa2g4 Pwp2 Snrpf Uchl5 Bccip Drg2 Gtpbp4 Mrpl30 Pa2g4 Pycrl Snrpg Uck2 Bola2 Dtymk Gypc Mrpl30 Paics Rabggtb Spcs3 Uhrf1 Bola2 Dusp14 Hars Mrpl30 Parp1 Rad51 Spr Umps Bop1 Dut Haus7 Mrpl38 Pbdc1 Rae1 Srm Ung Brix1 Ebna1bp2 Hax1 Mrpl42 Pcbp1 Ran Srsf10 Uqcr10 Bsg Eef1d Hint1 Mrpl52 Pdcd2l Ranbp1 Srsf3 Uqcrb Bud31 Eef1e1 Hivep3 Mrps18b Pdia6 Rars Srsf6 Uqcrc1 Bzw2 Eftud2 Hmbs Mrps26 Pebp1 Rbbp7 Srsf7 Uqcrq C1qbp Eif2b1 Hn1l Mrps28 Pes1 Rbfa Ssb Usmg5 Cacybp Eif2b3 Hnrnpa1 Mrps36 Pfdn2 Rbm38 Ssr2 Usp10 Cad Eif2s1 Hnrnpa1 Mrps5 Pgk1 Rcc1 Sssca1 Vars Calr Eif2s2 Hnrnpc Mrps6 Phb Rcc2 Stat5a Vcp Canx Eif2s3x Hnrnpc Mrto4 Phb2 Rcl1 Stip1 Wdr12 Ccdc86 Eif2s3x Hnrnpc Ms4a4c Phf5a Rel Stmn1 Wdr18 Ccl1 Eif3a Hnrnpc Ms4a4c Phgdh Rexo2 Stoml2 Wdr4 Ccne1 Eif3c Hnrnpc Mtap Pigu Rfc3 Strap Wdr43 Ccr7 Eif3c Hnrnpm Mtap Plrg1 Rfc4 Stt3a Wdr46 Cct2 Eif3d Hsp90ab1 Mtch2 Pmf1 Rgcc Suclg1 Wdr61 Cct3 Eif3e Hsp90b1 Mthfd1 Pmpcb Rnmtl1 Syncrip Wdr74 Cct4 Eif3g Hspa4 Mthfd2 Pno1 Rnps1 Syngr2 Wdr75 Cct5 Eif3i Hspa5 Mybbp1a Pola2 Rpf2 Taf1d Wdr77 Cct7 Eif3l Hspa9 Naa20 Pold2 Rpl22l1 Taf6 Xcl1 Cct8 Eif3m Hspbp1 Naa25 Poldip2 Rpl26 Tagln2 Xcl1 Cd83 Eif4a1 Hspd1 Nasp Polr1e Rpl30 Tbcb Ywhae Cdca7 Eif4a3 Hspe1 Ncl Polr2c Rpl35 Tbrg4 Ywhaq Cdk2 Eif4e Hsph1 Ndufa12 Polr2f Rpl36al Tceb2 Zfp593 f: Down-regulated mouse cell surface and cytokine genes that were in enriched in CD8+ TILs with high score for the IL-27 signature C1qbp Hnrnpu Itgb7 Wnt4 Ccnd2 Hsp90aa1 S1pr1 Xcl1 Ccr7 Hspa9 Sell Xcl1 Cd69 Il7r Tnfsf14 g: Down-regulated human genes that were in enriched in CD8+ TILs with high score for the IL-27 signature AATF CDK2 EIF5A IDH3A NDUFB6 PPIB RSL24D1 TIMM13 ABCE1 CDK4 EIF5AL1 IL2RA NDUFC2 PPID RUVBL1 TIMM17A ABCF2 CEBPZ EIF6 IMP4 NDUFC2-KCTD14 PPIE RUVBL2 TIMM23 ADPGK CHCHD1 EMC2 IMPDH2 NDUFS3 PPIF SAMM50 TIMM23B ADRM1 CHCHD2 EMC6 IPO4 NDUFS8 PPP5C SARNP TIMM50 AEN CHCHD4 ENO3 IPO5 NDUFV1 PRDX1 SDF2L1 TIMM8A AGA CINP ENOPH1 JTB NDUFV2 PRDX4 SDHAF1 TKT AHCY CISD1 ERH KARS NFKBIA PRELID1 SEC13 TMA16 AIFM1 CKS1B EXOSC1 KPNA2 NFKBIB PRMT1 SEC61B TMA7 AKR7A2 CLNS1A EXOSC5 KTI12 NHP2 PRMT5 SERBP1 TMED2 ALDH18A1 CLUH EXOSC7 LAD1 NME1 PRMT7 SET TMEM14B ALDH9A1 COPS3 FAM136A LAP3 NME2 PRPS1 SETSIP TMEM14C ALG8 COPS6 FAM162A LDHA NOB1 PSAT1 SF3B5 TMEM97 ANAPC15 COX6B1 FAM96A LETM1 NOC4L PSMA2 SFXN1 TNFRSF9 ANAPC5 COX7C FBL LLPH NOLC1 PSMA3 SHMT1 TOMM22 ANP32E CRTAM FDPS LSM2 NOP10 PSMB5 SHMT2 TOMM40 APEX1 CSE1L FDX2 LSM7 NOP16 PSMB6 SIVA1 T0MM5 API5 CTPS1 FKBP1A LTA NOP2 PSMC5 SKP1 TP53 APRT CTSZ FKBP2 LYAR NOP56 PSMD11 SLC19A1 TPI1 ARF1 CYC1 FKBP4 M6PR NOP58 PSMD3 SLC1A5 TSR1 ATAD3A CYCS FTSJ3 MAGOH NSUN2 PSMD6 SLC25A39 TUBA1B ATAD3B DAD1 G3BP1 MANF NTMT1 PSMD7 SMYD2 TUBG1 ATAD3C DAPL1 GADD45B MAT2A NUDC PSMG1 SMYD5 TUFM ATP5A1 DARS GARS MCM2 NUDT19 PSMG2 SNRPA1 TXN ATP5B DBI GART MCM3 NUDT21 PTBP1 SNRPD1 TXN2 ATP5E DCTPP1 GCSH MCM5 NUDT5 PTGES3 SNRPD3 TXNL4A ATP5EP2 DDB1 GFER MCM7 NUP54 PTPN6 SNRPE U2AF1 ATP5G1 DDX1 GINS2 MED11 NUP62 PUS1 SNRPF U2AF1L5 ATP5G2 DDX18 GNL3 METTL1 NUTF2 PUSL1 SNRPG UCHL3 ATP5G3 DDX21 GPATCH4 MIF OST4 PWP2 SNU13 UCHL5 ATP5I DDX27 GPS1 MPHOSPH6 OSTC PYCRL SPCS3 UCK2 ATP5J DDX39A GPX1 MRM3 P4HB RABGGTB SPR UHRF1 ATP5J2 DKC1 GRAMD1B MRPL12 PA2G4 RAD51 SRM UMPS ATPIF1 DNAJB11 GRWD1 MRPL20 PAICS RAE1 SRSF10 UNG BANF1 DNAJC19 GTF2F2 MRPL23 PARP1 RAN SRSF3 UQCR10 BCAP29 DOHH GTF2H1 MRPL28 PBDC1 RANBP1 SRSF6 UQCRB BCCIP DPAGT1 GTPBP4 MRPL3 PCBP1 RARS SRSF7 UQCRC1 BOLA2 DPY30 GYPC MRPL30 PDCD2L RBBP7 SSB UQCRQ BOLA2B DRG2 HARS MRPL38 PDIA6 RBFA SSR2 USMG5 BOP1 DTYMK HAUS7 MRPL42 PEBP1 RBM38 SSSCA1 USP10 BRIX1 DUSP14 HAX1 MRPL52 PES1 RCC1 STAT5A UTP4 BSG DUT HINT1 MRPS18B PFDN2 RCC2 STIP1 VARS BUD31 EBNA1BP2 HIVEP3 MRPS26 PGK1 RCL1 STMN1 VCP BZW2 EEF1D HMBS MRPS28 PHB REL STOML2 WDR12 C1orf131 EEF1E1- HN1L MRPS36 PHB2 REXO2 STRAP WDR18 BLOC1S5 C1QBP EFTUD2 HNRNPA1 MRPS5 PHF5A RFC3 STT3A WDR4 C8orf59 EIF2B1 HNRNPA1L2 MRPS6 PHGDH RFC4 SUCLG1 WDR43 CACYBP EIF2B3 HNRNPC MRTO4 PIGU RGCC SYNCRIP WDR46 CAD EIF2S1 HNRNPCL1 MS4A4A PLRG1 RNPS1 SYNGR2 WDR61 CALR EIF2S2 HNRNPCL2 MS4A4E PMF1 RPF2 TAF1D WDR74 CANX EIF2S3 HNRNPCL3 MTAP PMPCB RPL22L1 TAF6 WDR75 CCDC86 EIF3A HNRNPCL4 MTCH2 PNO1 RPL26 TAGLN2 WDR77 CCL1 EIF3C HNRNPM MTHFD1 POLA2 RPL30 TBCB XCL1 CCNE1 EIF3CL HSP90AB1 MTHFD2 POLD2 RPL35 TBRG4 XCL2 CCR7 EIF3D HSP90B1 MYBBP1A POLDIP2 RPL36A TCEB2 YWHAE CCT2 EIF3E HSPA4 NAA20 POLR1E RPN1 TCP1 YWHAQ CCT3 EIF3G HSPA5 NAA25 POLR2C RPN2 TEX30 ZNF593 CCT4 EIF3I HSPA9 NASP POLR2F RPS19BP1 TFDP1 CCT5 EIF3L HSPBP1 NCL POLR2H RPS27L TFRC CCT7 EIF3M HSPD1 NDUFA12 POLR2J RRP1 THOC5 CCT8 EIF4A1 HSPE1 NDUFA4 PPA1 RRP15 THUMPD3 CD83 EIF4A3 HSPH1 NDUFAB1 PPAN RRP9 THYN1 CDCA7 EIF4E IARS NDUFAF2 PPAN-P2RY11 RRS1 TIMM10 h: Down-regulated human cell surface and cytokine genes that were in enriched in CD8+ TILs with high score for the IL-27 signature C1QBP HNRNPU ITGB7 WNT4 CCND2 HSP90AA1 S1PR1 XCL1 CCR7 HSPA9 SELL XCL2 CD69 IL7R TNFSF14

As described herein, Prdm1 and c-Maf together regulate a co-inhibitory gene module that determines anti-tumor immunity. Applicants describe that anti-tumor immunity can be modulated upon modulating both genes (e.g., see FIGS. 12-14). Accordingly, in some embodiments, anti-tumor immunity is modulated using two or more modulating agents as described herein for the treatment of certain disorders, such as cancer. In preferred embodiments, Prdm1 and c-Maf are modulated by downregulation of expression or activity. In other embodiments, Prdm1 and c-Maf are modulated by upregulation of expression or activity.

Because Prdm1 and c-Maf each regulate numerous co-inhibitory receptors, it may be advantageous to modulate express of only one of Prdm1 or c-Maf at a time. Thus, in some embodiments, Prdm1 or c-Maf are modulated by downregulation of expression or activity. In other embodiments, Prdm1 or c-Maf are modulated by upregulation of expression or activity. In preferred embodiments, Prdm1 and c-Maf are modulated by downregulation of expression or activity. In preferred embodiments, Prdm1 and c-Maf are modulated by upregulation of expression or activity.

In one embodiment, at least one target gene selected from the list in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and/or c-Maf is modulated in combination with a treatment selected from the group consisting of: an immune checkpoint inhibitor, a CTLA-4 inhibitor, a PD-1 inhibitor, chemotherapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB and/or GITR. In some embodiments, the combination of modulation of at least one target gene selected from the list in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and/or c-Maf in combination with a treatment selected from the group consisting of: an immune checkpoint inhibitor, a CTLA-4 inhibitor, a PD-1 inhibitor, chemotherapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB and/or GITR produces a synergistic effect (e.g., the effect of the agents used in combination is greater than the sum of the effect of each agent alone).

In one embodiment, the methods, compositions and uses described herein comprise modulation of PDPN expression, activity and/or function, PROCR expression, activity, and/or function, or modulation of the combination of Prdm1 and c-Maf expression, activity and/or function, and at least one additional target gene/gene product or combination selected from the group consisting of those listed in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf. In another embodiment, the methods, compositions and uses described herein comprise modulation of PDPN expression, activity and/or function, PROCR expression, activity, and/or function, or modulation of the combination of Prdm1 and c-Maf expression, activity and/or function, and at least one additional target gene/gene product selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1. In another embodiment, the methods, compositions and uses described herein comprise inhibition of PDPN expression, activity and/or function, PROCR expression, activity, and/or function, or modulation of the combination of Prdm1 and c-Maf expression, activity and/or function, and inhibition of at least one additional target gene/gene product selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1. In another embodiment, the methods, compositions, and uses describe herein comprise inhibition of PDPN, PROCR, at least one additional target gene/gene product selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1, and activation of expression, activity, and/or function of at least one of the target genes/gene products selected from the group consisting of: CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7. In another embodiment, the methods, compositions, and uses described herein comprise inhibition of the combination of Prdm1 and c-Maf, at least one additional target gene/gene product selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1, and activation of expression, activity, and/or function of at least one of the target genes/gene products selected from the group consisting of: CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7. In one embodiment, a combination therapy comprising (i) a treatment selected from the group consisting of: an immune checkpoint inhibitor, a CTLA-4 inhibitor, a PD-1 inhibitor, chemotherapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB and/or GITR, (ii) modulation of PDPN, PROCR or the combination of Prdm1 and c-Maf (iii) optionally modulating at least one additional target gene/gene product selected from the group consisting of TIGIT, LAG3, LILRB4, and KLRC1 and (iv) optionally inducing activation of expression, activity, and/or function of at least one of the target genes/gene products selected from the group consisting of: CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7 is used in the methods and compositions described herein.

In one embodiment, at least one target gene selected from the list in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and/or c-Maf is modulated in an immune cell. In certain embodiments, the immune cell is a CD8+ T cell. In other embodiments, the immune cell is modulated ex vivo and is used in an adoptive cell transfer therapy. In certain embodiments, autologous T cells are used in a personalized therapy. In other embodiments, a cell is provided with at least one gene modulated selected from the list in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and/or c-Maf. In preferred embodiments, the cell is a CD8+ T cell. The CD8+ T cell may be a chimeric antigen receptor (CAR) T cell, described further herein.

In one embodiment, at least one target gene selected from the list in Table 1, Table, 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12, or Table 13 is used as part of a gene signature or biomarker signature to detect and/or isolate an immune cell, preferably a T cell with a specific immune state. In some embodiments, the biomarker or gene signature may comprise, consist essentially of, or consist of 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more genes disclosed in Table 1, Table, 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12, or Table 13. For example, disclosed herein, a gene signature for dysfunctional T cell associated with chronic infection can comprise any combination of the genes disclosed in Table 6.

In some embodiments, the gene signature may comprise, consist essentially of, or consist of all types of genes, for instance genes that encode transcription factors, cell signaling molecule, cell surface receptors, or cytokines. In some embodiments, the gene signature may comprise, consist essentially of, or consist of genes that encode transcription factorscell surface receptors, and cytokines. In some embodiments, the gene signature may comprise, consist essentially of, or consist of genes that encode cell surface receptors and cytokines. Not being bound by a theory, cell surface receptors or cytokines facilitate detection or isolation of cells without destroying the cell, such as by cell sorting, particularly FACS or magnetic sorting. In preferred embodiments, dysfunctional T cells are detected.

Detection may be part of a diagnostic assay or may be used as a method of determining whether a patient is suitable for administering an immunotherapy or another type of therapy. For example, detection of the disclosed gene or biomarker signatures may be performed in or to determine whether a patient is responding to a given treatment or, if the patient is not responding, if this may be due to T cell dysfunction. Such detection is informative regarding the types of therapy the patient is best suited to receive. For example, whether the patient should receive immunotherapy. Non-limiting examples on immuntherapeutics (exemplary embodiments also shown in Table 14) that may be used in the claimed methods or in conjunction with the claimed compositions include IMP321, BMS-986016, LAG525, TSR022, MTIG7192A, TRX518, INCAGN01876, GWN323, MEDI1873, MEDI9447, PF-05082566 (utomilumab), BMS-663513 (urelumab), MOXR0916, MEDI6469, MEDI6383, PF04518600, KHK4083, and combinations of two or more thereof. In preferred embodiments the immunotherapy may comprise administering at least one check point inhibitor.

TABLE 14 Target Active agents investigated in clinical trials Lag-3 IMP321, BMS-986016, LAG525 Tim-3 TSR022 Tigit MTIG7192A Gitr (CD357) TRX518, INCAGN01876, GWN323, MEDI1873 CD73 MEDI9447, 4-1BB (CD137, PF-05082566 (utomilumab), TNFRSF9) BMS-663513 (urelumab) OX40 (CD134) MOXR0916, MEDI6469, MEDI6383, PF04518600, KHK4083

In some embodiments, a patient that is not responding to ACT may benefit from use of the detection methods to determine whether the adoptive cells are dysfunctional, and if so, what course of treatment could correct the dysfunction.

In some embodiments, the disclosed gene signature can be detected using methods disclosed herein or methods know in the art. For example, the disclosed gene signatures immunofluorescence, mass cytometry (CyTOF), FACS, drop-seq, RNA-seq, single cell qPCR, MERFISH (multiplex (in situ) RNA FISH), microarray and/or by in situ hybridization. Other methods including absorbance assays and colorimetric assays are known in the art and may be used herein. in some aspects, measuring expression of signature genes comprises measuring protein expression levels. Protein expression levels may be measured, for example, by, performing a Western blot, an ELISA or binding, to an antibody array. In another aspect, measuring expression of said genes comprises measuring RNA expression levels. RNA expression levels may be measured by performing RT-PCR, Northern blot, an array hybridization, or RNA sequencing methods.

Signature Genes

As used herein a signature may encompass any gene or genes, or protein or proteins, whose expression profile or whose occurrence is associated with a specific cell type, subtype, or cell state of a specific cell type or subtype within a population of cells. Increased or decreased expression or activity or prevalence may be compared between different cells in order to characterize or identify for instance specific cell (sub)populations. A gene signature as used herein, may thus refer to any set of up- and down-regulated genes between different cells or cell (sub)populations derived from a gene-expression profile. For example, a gene signature may comprise a list of genes differentially expressed in a distinction of interest. It is to be understood that also when referring to proteins (e.g. differentially expressed proteins), such may fall within the definition of “gene” signature.

The signatures as defined herein (being it a gene signature, protein signature or other genetic signature) can be used to indicate the presence of a cell type, a subtype of the cell type, the state of the microenvironment of a population of cells, a particular cell type population or subpopulation, and/or the overall status of the entire cell (sub)population. Furthermore, the signature may be indicative of cells within a population of cells in vivo. The signature may also be used to suggest for instance particular therapies, or to follow up treatment, or to suggest ways to modulate immune systems. The signatures of the present invention may be discovered by analysis of expression profiles of single-cells within a population of cells from isolated samples (e.g. blood samples), thus allowing the discovery of novel cell subtypes or cell states that were previously invisible or unrecognized. The presence of subtypes or cell states may be determined by subtype specific or cell state specific signatures. The presence of these specific cell (sub)types or cell states may be determined by applying the signature genes to bulk sequencing data in a sample. Not being bound by a theory, a combination of cell subtypes having a particular signature may indicate an outcome. Not being bound by a theory, the signatures can be used to deconvolute the network of cells present in a particular pathological condition. Not being bound by a theory the presence of specific cells and cell subtypes are indicative of a particular response to treatment, such as including increased or decreased susceptibility to treatment. The signature may indicate the presence of one particular cell type. In one embodiment, the novel signatures are used to detect multiple cell states or hierarchies that occur in subpopulations of immune cells that are linked to particular pathological condition (e.g. cancer), or linked to a particular outcome or progression of the disease, or linked to a particular response to treatment of the disease.

The signature according to certain embodiments of the present invention may comprise or consist of one or more genes and/or proteins, such as for instance 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of two or more genes and/or proteins, such as for instance 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of three or more genes and/or proteins, such as for instance 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of four or more genes and/or proteins, such as for instance 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of five or more genes and/or proteins, such as for instance 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of six or more genes and/or proteins, such as for instance 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of seven or more genes and/or proteins, such as for instance 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of eight or more genes and/or proteins, such as for instance 8, 9, 10 or more. In certain embodiments, the signature may comprise or consist of nine or more genes and/or proteins, such as for instance 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. In certain embodiments, the signature may comprise or consist of ten or more genes and/or proteins, such as for instance 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 59, or 50 or more. For example, a signature for use in the disclosed detection methods can include a combination of genes either Table 1, Table 2, Table 5, Table 6, Table 7, Table 8, Table 9, Table 10, Table 11, Table 12, or Table 13. It is to be understood that a signature according to the invention may for instance also include a combination of genes or proteins.

It is to be understood that “differentially expressed” genes/proteins include genes/proteins which are up- or down-regulated as well as genes/proteins which are turned on or off. When referring to up-or down-regulation, in certain embodiments, such up- or down-regulation is preferably at least two-fold, such as two-fold, three-fold, four-fold, five-fold, or more, such as for instance at least ten-fold, at least 20-fold, at least 30-fold, at least 40-fold, at least 50-fold, or more. Alternatively, or in addition, differential expression may be determined based on common statistical tests, as is known in the art.

As discussed herein, differentially expressed genes/proteins may be differentially expressed on a single cell level, or may be differentially expressed on a cell population level. Preferably, the differentially expressed genes/proteins as discussed herein, such as constituting the gene signatures as discussed herein, when as to the cell population level, refer to genes that are differentially expressed in all or substantially all cells of the population (such as at least 80%, preferably at least 90%, such as at least 95% of the individual cells). This allows one to define a particular subpopulation of cells. As referred to herein, a “subpopulation” of cells preferably refers to a particular subset of cells of a particular cell type which can be distinguished or are uniquely identifiable and set apart from other cells of this cell type. The cell subpopulation may be phenotypically characterized, and is preferably characterized by the signature as discussed herein. A cell (sub)population as referred to herein may constitute of a (sub)population of cells of a particular cell type characterized by a specific cell state.

When referring to induction, or alternatively suppression of a particular signature, preferable is meant induction or alternatively suppression (or upregulation or downregulation) of at least one gene/protein of the signature, such as for instance at least to, at least three, at least four, at least five, at least six, or all genes/proteins of the signature.

Signatures may be functionally validated as being uniquely associated with a particular immune phenotype. Induction or suppression of a particular signature may consequentially be associated with or causally drive a particular immune phenotype.

Various aspects and embodiments of the invention may involve analyzing gene signatures, protein signature, and/or other genetic signature based on single cell analyses (e.g. single cell RNA sequencing) or alternatively based on cell population analyses, as is defined herein elsewhere.

In further aspects, the invention relates to gene signatures, protein signature, and/or other genetic signature of particular immune cell subpopulations, as defined herein. The invention hereto also further relates to particular immune cell subpopulations, which may be identified based on the methods according to the invention as discussed herein; as well as methods to obtain such cell (sub)populations and screening methods to identify agents capable of inducing or suppressing particular immune cell (sub)populations.

The invention further relates to various uses of the gene signatures, protein signature, and/or other genetic signature as defined herein, as well as various uses of the immune cells or immune cell (sub)populations as defined herein. Particular advantageous uses include methods for identifying agents capable of inducing or suppressing particular immune cell (sub)populations based on the gene signatures, protein signature, and/or other genetic as defined herein. The invention further relates to agents capable of inducing or suppressing particular immune cell (sub)populations based on the gene signatures, protein signature, and/or other genetic signature as defined herein, as well as their use for modulating, such as inducing or repressing, a particular gene signature, protein signature, and/or other genetic signature. In related aspects, modulating, such as inducing or repressing, a particular gene signature, protein signature, and/or other genetic signature may modify overall immune cell composition, such as activated or dysfunctional immune cell composition, or distribution, or functionality.

As used herein the term “signature gene” means any gene or genes whose expression profile is associated with a specific cell type, subtype, or cell state of a specific cell type or subtype within a population of cells. The signature gene can be used to indicate the presence of a cell type, a subtype of the cell type, the state of the microenvironment of a population of cells, and/or the overall status of the entire cell population. Furthermore, the signature genes may be indicative of cells within a population of cells in vivo. Not being bound by a theory, the signature genes can be used to deconvolute the cells present in a tumor based on comparing them to data from bulk analysis of a tumor sample. The signature gene may indicate the presence of one particular cell type. In one embodiment, the signature genes may indicate that dysfunctional or activated tumor infiltrating T-cells are present. The presence of cell types within a tumor may indicate that the tumor will be resistant to a treatment. In one embodiment the signature genes of the present invention are applied to bulk sequencing data from a tumor sample to transform the data into information relating to disease outcome and personalized treatments. In one embodiment, the novel signature genes are used to detect multiple cell states that occur in a subpopulation of tumor cells that are linked to resistance to targeted therapies and progressive tumor growth. In preferred embodiments, immune cell states of tumor infiltrating lymphocytes are detected.

In one embodiment, the signature genes are detected by immunofluorescence, mass cytometry (CyTOF), FACS, drop-seq, RNA-seq, single cell qPCR, MERFISH (multiplex (in situ) RNA FISH), microarray and/or by in situ hybridization. Other methods including absorbance assays and colorimetric assays are known in the art and may be used herein. In some aspects, measuring expression of signature genes comprises measuring protein expression levels. Protein expression levels may be measured, for example, by performing a Western blot, an ELISA or binding to an antibody array. In another aspect, measuring expression of said genes comprises measuring RNA expression levels. RNA expression levels may be measured by performing RT-PCR, Northern blot, an array hybridization, or RNA sequencing methods.

Modulating Agents

Provided herein are methods and compositions comprising one or more modulating agents that modulate the expression, activity and/or function of one or more target genes in Table 1, Table 10, Table 11, Table 12, or Table 13 or that modulate the expression, activity and/or function of the combination of Prdm1 and c-Maf and/or Prdm1 and c-Maf, individually, or pairs of target genes as shown in Table 2, or combinations thereof as described herein in any of Tables 3-9. In one embodiment, one or a combination of modulating agents is used to modulate T cell exhaustion. In some embodiments, the combination of modulating agents has a synergistic effect compared to the effect of each agent alone.

In some embodiments, the modulating agent is an activator of the expression, activity and/or function of one or more target genes. In some embodiments, where the desired effect is to increase non-responsiveness of a T-cell (e.g., in autoimmune disease and/or transplants), an agent that induces an increase in the expression, activity and/or function of a negative regulator of T cell function from the list of target genes, such as in Table 4, will induce an increase in T cell non-responsiveness or exhaustion. Where the desired effect is to decrease T-cell exhaustion, an activating agent that increases the expression, activity and/or function of a positive regulator of T cell function from the list of target genes, such as in Table 3, can be used.

In some embodiments, the modulating agent is an inhibitor of the expression, activity, and/or function of one or more target genes listed in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf and/or Prdm1 and c-Maf, individually, or the pairs of target genes as shown in Table 2, or other combinations thereof as described herein. Where the desired effect of the inhibiting agent is to reduce T-cell exhaustion, an agent that inhibits the expression, activity and/or function of a negative regulator of T-cell function (see e.g., Table 4) will induce a reduction in T-cell exhaustion. Where the desired effect of the inhibiting agent is to increase T-cell non-responsiveness (e.g., autoimmune disease and/or transplant), an agent that inhibits the expression, activity and/or function of a positive regulator of T-cell function (e.g., those listed in Table 4 and/or Tables 8-9), will induce T-cell non-responsiveness.

In some embodiments, one or more modulating agents are used in combination with the methods and compositions described herein. In some embodiments, two or more modulating agents are used in combination with the methods and compositions described herein. One of skill in the art will appreciate that, depending on the identities of the selected target genes or proteins, one can employ both inhibiting agents and activating agents in the same method and/or composition provided that the agents are employed with a common goal (i.e., to produce a similar biological effect such as reduction of T-cell exhaustion) such that the agents work together additively, or preferably synergistically, towards the desired overall biological effect. In some embodiments, at least 3, at least 4, at least 5, at least 6, at least 7, at least 8, at least 9, at least 10 or more agents are formulated or administered in combination.

Inhibitors:

As used herein, the terms “inhibitor,” “antagonist,” and “silencing agent,” refer to a molecule or agent that significantly blocks, inhibits, reduces, or interferes with one or more target genes listed in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf or Prdm1 and c-Maf, individually, their biological activity in vitro, in situ, and/or in vivo, including activity of downstream pathways mediated by gene signaling. In some embodiments, the inhibitor or antagonist will modulate markers of T-cell exhaustion, such as, for example, lack of/reduction in proliferation, lack of/reduction in cytokine production, lack of/reduction in cytotoxic activity, lack of/reduction in trafficking or migration, transcription factor induction, IL-10 induction, and/or elicitation of a cellular response to IL-27. Exemplary inhibitors contemplated for use in the various aspects and embodiments described herein include, but are not limited to, antibodies or antigen-binding fragments thereof that specifically bind to one or more target genes listed in Table 1, Table 10, Table 11, or Table 12, or gene products thereof, or one or more subunits of the target gene(s)/product(s); anti-sense molecules directed to a nucleic acid encoding the target protein or subunits thereof; short interfering RNA (“siRNA”) molecules directed to a nucleic acid encoding the target protein or subunits thereof; RNA or DNA aptamers that bind to the target gene or gene product or a subunit thereof; gene product structural analog; soluble variant proteins or fusion polypeptides thereof; DNA targeting agents, such as CRISPR systems, Zinc finger binding proteins, TALES or TALENS; and small molecule agents that target or bind to the target gene or subunit(s) thereof. In some embodiments of the compositions, methods, and uses described herein, the inhibitor inhibits some or all of IL-27 mediated signal transduction. Exemplary assays to measure inhibition or reduction of downstream IL-27 signaling pathway activities are known to those of ordinary skill in the art and/or are provided herein.

As used herein, an inhibitor or antagonist has the ability to reduce the activity and/or expression of the target gene in a cell (e.g., T cells, such as CD8+ or CD4+ T cells) by at least 5%, at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, at least 98%, at least 99%, or more, relative to the activity or expression level in the absence of the antagonist.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist is a monoclonal antibody.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist is an antibody fragment or antigen-binding fragment. The terms “antibody fragment,” “antigen binding fragment,” and “antibody derivative” as used herein, refer to a protein fragment that comprises only a portion of an intact antibody, generally including an antigen binding site of the intact antibody and thus retaining the ability to bind antigen. The term “antibody agent” refers to an antibody, antibody fragment, antigen binding fragment, and/or an antibody derivative.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist is a chimeric antibody derivative of an antagonist antibody or antigen-binding fragment thereof.

The inhibitor or antagonist antibodies and antigen-binding fragments thereof described herein can also be, in some embodiments, a humanized antibody derivative.

In some embodiments, the inhibitor or antagonist antibodies and antigen-binding fragments thereof described herein, i.e., antibodies that are useful for decreasing T cell exhaustion, include derivatives that are modified, i.e., by the covalent attachment of any type of molecule to the antibody, provided that the covalent attachment does not prevent the antibody from binding to the target antigen, e.g., one or more target gene products from Table 1, Table 10, Table 11, or Table 12.

In some embodiments of the compositions, methods, and uses described herein, fully human antibodies are used, which are particularly desirable for the therapeutic treatment of human patients.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist is a small molecule inhibitor or antagonist, including, but is not limited to, small peptides or peptide-like molecules, soluble peptides, and synthetic non-peptidyl organic or inorganic compounds. A small molecule inhibitor or antagonist can have a molecular weight of any of about 100 to about 20,000 daltons (Da), about 500 to about 15,000 Da, about 1000 to about 10,000 Da. In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist comprises a small molecule that binds the target gene product selected from the genes listed in Table 1, Table 2, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf or Prdm1 and c-Maf, individually.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist is an RNA or DNA aptamer that binds or physically interacts with a target gene/gene product, and blocks interactions between the gene product and a binding partner.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist comprises at least one structural analog of a target gene/gene product as listed in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf, or Prdm1 and c-Maf, individually. The term “structural analogs” as used herein, refers to compounds that have a similar three dimensional structure as the target gene or portion thereof, under physiological conditions in vitro or in vivo, wherein the binding of the analog in the signaling pathway reduces a desired biological activity. Suitable structural analogs can be designed and synthesized through molecular modeling of protein binding. The structural analogs and receptor structural analogs can be monomers, dimers, or higher order multimers in any desired combination of the same or different structures to obtain improved affinities and biological effects.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist comprises at least one soluble peptide, or portion of the target gene product, or fusion polypeptide thereof. In some such embodiments, the soluble peptide is fused to an immunoglobulin constant domain, such as an Fc domain, or to another polypeptide that modifies its in vivo half-life, e.g., albumin.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist comprises at least one antisense molecule capable of blocking or decreasing the expression of a desired target gene by targeting nucleic acids encoding the gene or subunit thereof. Methods are known to those of ordinary skill in the art for the preparation of antisense oligonucleotide molecules that will specifically bind one or more target gene(s) without cross-reacting with other polynucleotides. Exemplary sites of targeting include, but are not limited to, the initiation codon, the 5′ regulatory regions, including promoters or enhancers, the coding sequence, including any conserved consensus regions, and the 3′ untranslated region. In some embodiment of these aspects and all such aspects described herein, the antisense oligonucleotides are about 10 to about 100 nucleotides in length, about 15 to about 50 nucleotides in length, about 18 to about 25 nucleotides in length, or more. In certain embodiments, the oligonucleotides further comprise chemical modifications to increase nuclease resistance and the like, such as, for example, phosphorothioate linkages and 2′-O-sugar modifications known to those of ordinary skill in the art.

In some embodiments of the compositions, methods, and uses described herein, an inhibitor or antagonist comprises at least one siRNA molecule capable of blocking or decreasing the expression of a target gene product or a subunit thereof. Generally, one would prepare siRNA molecules that will specifically target one or more mRNAs without cross-reacting with other polynucleotides. siRNA molecules for use in the compositions, methods, and uses described herein can be generated by methods known in the art, such as by typical solid phase oligonucleotide synthesis, and often will incorporate chemical modifications to increase half-life and/or efficacy of the siRNA agent, and/or to allow for a more robust delivery formulation. Alternatively, siRNA molecules are delivered using a vector encoding an expression cassette for intracellular transcription of siRNA.

Inhibitors or antagonists for use in the compositions, methods, and uses described herein can be identified or characterized using methods known in the art, such as protein-protein binding assays, biochemical screening assays, immunoassays, and cell-based assays, which are well known in the art.

Activators:

Also provided herein, in other aspects, are compositions comprising activators or agonists for use in the methods and compositions described herein.

As used herein, the terms “activator,” “agonist,” or “activating agent,” refer to a molecule or agent that mimics or up-regulates (e.g., increases, potentiates or supplements) the expression and/or biological activity of a target gene/gene product in vitro, in situ, and/or in vivo, including downstream pathways mediated by gene signaling. In some embodiments, an activator or agonist as described herein can modulate markers of T-cell exhaustion, such as, for example, transcription factor induction (e.g., NFIL3 or T-bet induction), IL-10 induction, histone acetylation at the TIM-3 locus, TIM-3 mRNA or protein upregulation, and/or elicitation of a cellular response to IL-27. An “activator” of a given polypeptide can include the polypeptide itself, in that supplying the polypeptide itself will increase the level of the function provided by the polypeptide. An activator or agonist can be a protein or derivative thereof having at least one bioactivity of the wild-type target gene/gene product. An activator or agonist can also be a compound that up-regulates expression of the desired target gene product or its subunits. An activator or agonist can also be a compound which increases the interaction of the target gene with its receptor, for example. Exemplary activators or agonists contemplated for use in the various aspects and embodiments described herein include, but are not limited to, antibodies or antigen-binding fragments thereof that specifically bind to a target gene/gene product or subunits thereof; RNA or DNA aptamers that bind to the target gene/gene product; structural analogs or soluble mimics or fusion polypeptides thereof; DNA targeting agents, such as CRISPR systems, Zinc finger binding proteins, and TALES; and small molecule agents that target or bind to a target gene product binding partner and act as functional mimics.

As used herein, an agonist has the ability to increase or enhance the activity and/or expression of a target gene/gene product in a cell (e.g., T cells, such as CD8+ or CD4+ T cells) by at least 5%, at least 10%, at least 20%, at least 30%, at least 40%, at least 50%, at least 60%, at least 70%, at least 80%, at least 90%, at least 95%, at least 98%, at least 99%, at least 100%, at least 1.5-fold, at least 2-fold, at least 5-fold, at least 10-fold, at least 25-fold, at least 50-fold, at least 100-fold, at least 1000-fold, or more relative to the activity or expression level in the absence of the activator or agonist.

In some embodiments of the compositions, methods, and uses described herein, the activator or agonist increases or enhances signal transduction mediated by the target gene/gene product. In some embodiments of the compositions and methods described herein, the activator or agonist increases or enhances transcription factor induction or activation.

In some embodiments of the compositions, methods, and uses described herein, the binding sites of the activators or agonists, such as an antibody or antigen-binding fragment thereof, are directed against an interaction site between the target gene product and one or more of its binding partners. By binding to an interaction site, an activator or agonist described herein can mimic or recapitulate the binding of the target gene product to its partner and increase the activity or expression of the target gene product, and downstream signaling consequences.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is a monoclonal antibody. In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is an antibody fragment or antigen-binding fragment.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is a chimeric antibody derivative of the agonist antibodies and antigen-binding fragments thereof.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is a humanized antibody derivative.

In some embodiments, the activator or agonist antibodies and antigen-binding fragments thereof described herein, i.e., antibodies that are useful for increasing T cell exhaustion, include derivatives that are modified, i.e., by the covalent attachment of any type of molecule to the antibody, provided that covalent attachment does not prevent the antibody from binding to the target antigen.

The activator or agonist antibodies and antigen-binding fragments thereof described herein can be generated by any suitable method known in the art.

In some embodiments, the activator or agonist antibodies and antigen-binding fragments thereof described herein are fully human antibodies or antigen-binding fragments thereof, which are particularly desirable for the therapeutic treatment of human patients. Human antibodies can be made by a variety of methods known in the art, and as described in more detail elsewhere herein.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is a small molecule activator or agonist, including, but not limited to, small peptides or peptide-like molecules, soluble peptides, and synthetic non-peptidyl organic or inorganic compounds. A small molecule activator or agonist can have a molecular weight of any of about 100 to about 20,000 daltons (Da), about 500 to about 15,000 Da, or about 1000 to about 10,000 Da.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist is an RNA or DNA aptamer that binds or physically interacts with a target gene product and one or more of its binding partners, and enhances or promotes protein-protein interactions.

In some embodiments of the compositions, methods, and uses described herein, an activator or agonist comprises at least one structural analog of a target gene or gene product as listed in Table 1, Table 10, Table 11, or Table 12 or the combination of Prdm1 and c-Maf, or Prdm1 and c-Maf, individually. The term “structural analog,” as used herein, refers to compounds that have a similar three dimensional structure as all or a portion of the desired target gene product under physiological conditions in vitro or in vivo, wherein the binding at least partially mimics or increases a biological activity mediated by the target gene product. Suitable structural analogs can be designed and synthesized through molecular modeling of binding of a target gene product and its binding partner(s). The structural analogs can be monomers, dimers, or higher order multimers in any desired combination of the same or different structures to obtain improved affinities and biological effects.

Activators or agonists for use in the compositions, methods, and uses described herein can be identified or characterized using methods known in the art, such as protein-protein binding assays, biochemical screening assays, immunoassays, and cell-based assays, which are well known in the art.

With respect to general information on CRISPR-Cas Systems, components thereof, and delivery of such components, including methods, materials, delivery vehicles, vectors, particles, AAV, and making and using thereof, including as to amounts and formulations, all useful in the practice of the instant invention, reference is made to: U.S. Pat. Nos. 8,999,641, 8,993,233, 8,945,839, 8,932,814, 8,906,616, 8,895,308, 8,889,418, 8,889,356, 8,871,445, 8,865,406, 8,795,965, 8,771,945 and 8,697,359; US Patent Publications US 2014-0310830 (U.S. application Ser. No. 14/105,031), US 2014-0287938 A1 (U.S. application Ser. No. 14/213,991), US 2014-0273234 A1 (U.S. application Ser. No. 14/293,674), US2014-0273232 A1 (U.S. application Ser. No. 14/290,575), US 2014-0273231 (U.S. application Ser. No. 14/259,420), US 2014-0256046 A1 (U.S. application Ser. No. 14/226,274), US 2014-0248702 A1 (U.S. application Ser. No. 14/258,458), US 2014-0242700 A1 (U.S. application Ser. No. 14/222,930), US 2014-0242699 A1 (U.S. application Ser. No. 14/183,512), US 2014-0242664 A1 (U.S. application Ser. No. 14/104,990), US 2014-0234972 A1 (U.S. application Ser. No. 14/183,471), US 2014-0227787 A1 (U.S. application Ser. No. 14/256,912), US 2014-0189896 A1 (U.S. application Ser. No. 14/105,035), US 2014-0186958 (U.S. application Ser. No. 14/105,017), US 2014-0186919 A1 (U.S. application Ser. No. 14/104,977), US 2014-0186843 A1 (U.S. application Ser. No. 14/104,900), US 2014-0179770 A1 (U.S. application Ser. No. 14/104,837) and US 2014-0179006 A1 (U.S. application Ser. No. 14/183,486), US 2014-0170753 (U.S. application Ser. No. 14/183,429); European Patents EP 2 784 162 B1 and EP 2 771 468 B1; European Patent Applications EP 2 771 468 (EP13818570.7), EP 2 764 103 (EP13824232.6), and EP 2 784 162 (EP14170383.5); and PCT Patent Publications PCT Patent Publications WO 2014/093661 (PCT/US2013/074743), WO 2014/093694 (PCT/US2013/074790), WO 2014/093595 (PCT/US2013/074611), WO 2014/093718 (PCT/US2013/074825), WO 2014/093709 (PCT/US2013/074812), WO 2014/093622 (PCT/US2013/074667), WO 2014/093635 (PCT/US2013/074691), WO 2014/093655 (PCT/US2013/074736), WO 2014/093712 (PCT/US2013/074819), WO2014/093701 (PCT/US2013/074800), WO2014/018423 (PCT/US2013/051418), WO 2014/204723 (PCT/US2014/041790), WO 2014/204724 (PCT/US2014/041800), WO 2014/204725 (PCT/US2014/041803), WO 2014/204726 (PCT/US2014/041804), WO 2014/204727 (PCT/US2014/041806), WO 2014/204728 (PCT/US2014/041808), WO 2014/204729 (PCT/US2014/041809). Reference is also made to U.S. provisional patent applications 61/758,468; 61/802,174; 61/806,375; 61/814,263; 61/819,803 and 61/828,130, filed on Jan. 30, 2013; Mar. 15, 2013; Mar. 28, 2013; Apr. 20, 2013; May 6, 2013 and May 28, 2013 respectively. Reference is also made to U.S. provisional patent application 61/836,123, filed on Jun. 17, 2013. Reference is additionally made to U.S. provisional patent applications 61/835,931, 61/835,936, 61/836,127, 61/836,101, 61/836,080 and 61/835,973, each filed Jun. 17, 2013. Further reference is made to U.S. provisional patent applications 61/862,468 and 61/862,355 filed on Aug. 5, 2013; 61/871,301 filed on Aug. 28, 2013; 61/960,777 filed on Sep. 25, 2013 and 61/961,980 filed on Oct. 28, 2013. Reference is yet further made to: PCT Patent applications Nos: PCT/US2014/041803, PCT/US2014/041800, PCT/US2014/041809, PCT/US2014/041804 and PCT/US2014/041806, each filed Jun. 10, 2014 6/10/14; PCT/US2014/041808 filed Jun. 11, 2014; and PCT/US2014/62558 filed Oct. 28, 2014, and U.S. Provisional Patent Applications Ser. Nos. 61/915,150, 61/915,301, 61/915,267 and 61/915,260, each filed Dec. 12, 2013; 61/757,972 and 61/768,959, filed on Jan. 29, 2013 and Feb. 25, 2013; 61/835,936, 61/836,127, 61/836,101, 61/836,080, 61/835,973, and 61/835,931, filed Jun. 17, 2013; 62/010,888 and 62/010,879, both filed Jun. 11, 2014; 62/010,329 and 62/010,441, each filed Jun. 10, 2014; 61/939,228 and 61/939,242, each filed Feb. 12, 2014; 61/980,012, filed Apr. 15,2014; 62/038,358, filed Aug. 17, 2014; 62/054,490, 62/055,484, 62/055,460 and 62/055,487, each filed Sep. 25, 2014; and 62/069,243, filed Oct. 27, 2014. Reference is also made to U.S. provisional patent applications Nos. 62/055,484, 62/055,460, and 62/055,487, filed Sep. 25, 2014; U.S. provisional patent application 61/980,012, filed Apr. 15, 2014; and U.S. provisional patent application 61/939,242 filed Feb. 12, 2014. Reference is made to PCT application designating, inter alia, the United States, application No. PCT/US14/41806, filed Jun. 10, 2014. Reference is made to U.S. provisional patent application 61/930,214 filed on Jan. 22, 2014. Reference is made to U.S. provisional patent applications 61/915,251; 61/915,260 and 61/915,267, each filed on Dec. 12, 2013. Reference is made to US provisional patent application U.S. Ser. No. 61/980,012 filed Apr. 15, 2014. Reference is made to PCT application designating, inter alia, the United States, application No. PCT/US14/41806, filed Jun. 10, 2014. Reference is made to U.S. provisional patent application 61/930,214 filed on Jan. 22, 2014. Reference is made to U.S. provisional patent applications 61/915,251; 61/915,260 and 61/915,267, each filed on Dec. 12, 2013.

Mention is also made of U.S. application 62/091,455, filed, 12 Dec. 2014, PROTECTED GUIDE RNAS (PGRNAS); U.S. application 62/096,708, 24 Dec. 2014, PROTECTED GUIDE RNAS (PGRNAS); U.S. application 62/091,462, 12 Dec. 2014, DEAD GUIDES FOR CRISPR TRANSCRIPTION FACTORS; U.S. application 62/096,324, 23 Dec. 2014, DEAD GUIDES FOR CRISPR TRANSCRIPTION FACTORS; U.S. application 62/091,456, 12 Dec. 2014, ESCORTED AND FUNCTIONALIZED GUIDES FOR CRISPR-CAS SYSTEMS; U.S. application 62/091,461, 12 Dec. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR GENOME EDITING AS TO HEMATOPOETIC STEM CELLS (HSCs); U.S. application 62/094,903, 19 Dec. 2014, UNBIASED IDENTIFICATION OF DOUBLE-STRAND BREAKS AND GENOMIC REARRANGEMENT BY GENOME-WISE INSERT CAPTURE SEQUENCING; U.S. application 62/096,761, 24 Dec. 2014, ENGINEERING OF SYSTEMS, METHODS AND OPTIMIZED ENZYME AND GUIDE SCAFFOLDS FOR SEQUENCE MANIPULATION; U.S. application 62/098,059, 30 Dec. 2014, RNA-TARGETING SYSTEM; U.S. application 62/096,656, 24 Dec. 2014, CRISPR HAVING OR ASSOCIATED WITH DESTABILIZATION DOMAINS; U.S. application 62/096,697, 24 Dec. 2014, CRISPR HAVING OR ASSOCIATED WITH AAV; U.S. application 62/098,158, 30 Dec. 2014, ENGINEERED CRISPR COMPLEX INSERTIONAL TARGETING SYSTEMS; U.S. application 62/151,052, 22 Apr. 2015, CELLULAR TARGETING FOR EXTRACELLULAR EXOSOMAL REPORTING; U.S. application 62/054,490, 24 Sep. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR TARGETING DISORDERS AND DISEASES USING PARTICLE DELIVERY COMPONENTS; U.S. application 62/055,484, 25 Sep. 2014, SYSTEMS, METHODS AND COMPOSITIONS FOR SEQUENCE MANIPULATION WITH OPTIMIZED FUNCTIONAL CRISPR-CAS SYSTEMS; U.S. application 62/087,537, 4 Dec. 2014, SYSTEMS, METHODS AND COMPOSITIONS FOR SEQUENCE MANIPULATION WITH OPTIMIZED FUNCTIONAL CRISPR-CAS SYSTEMS; U.S. application 62/054,651, 24 Sep. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR MODELING COMPETITION OF MULTIPLE CANCER MUTATIONS IN VIVO; U.S. application 62/067,886, 23 Oct. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR MODELING COMPETITION OF MULTIPLE CANCER MUTATIONS IN VIVO; U.S. application 62/054,675, 24 Sep. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS IN NEURONAL CELLS/TISSUES; U.S. application 62/054,528, 24 Sep. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS IN IMMUNE DISEASES OR DISORDERS; U.S. application 62/055,454, 25 Sep. 2014, DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR TARGETING DISORDERS AND DISEASES USING CELL PENETRATION PEPTIDES (CPP); U.S. application 62/055,460, 25 Sep. 2014, MULTIFUNCTIONAL-CRISPR COMPLEXES AND/OR OPTIMIZED ENZYME LINKED FUNCTIONAL-CRISPR COMPLEXES; U.S. application 62/087,475, 4 Dec. 2014, FUNCTIONAL SCREENING WITH OPTIMIZED FUNCTIONAL CRISPR-CAS SYSTEMS; U.S. application 62/055,487, 25 Sep. 2014, FUNCTIONAL SCREENING WITH OPTIMIZED FUNCTIONAL CRISPR-CAS SYSTEMS; U.S. application 62/087,546, 4 Dec. 2014, MULTIFUNCTIONAL CRISPR COMPLEXES AND/OR OPTIMIZED ENZYME LINKED FUNCTIONAL-CRISPR COMPLEXES; and U.S. application 62/098,285, 30 Dec. 2014, CRISPR MEDIATED IN VIVO MODELING AND GENETIC SCREENING OF TUMOR GROWTH AND METASTASIS.

Each of these patents, patent publications, and applications, and all documents cited therein or during their prosecution (“appin cited documents”) and all documents cited or referenced in the appin cited documents, together with any instructions, descriptions, product specifications, and product sheets for any products mentioned therein or in any document therein and incorporated by reference herein, are hereby incorporated herein by reference, and may be employed in the practice of the invention. All documents (e.g., these patents, patent publications and applications and the appin cited documents) are incorporated herein by reference to the same extent as if each individual document was specifically and individually indicated to be incorporated by reference.

Also with respect to general information on CRISPR-Cas Systems, mention is made of the following (also hereby incorporated herein by reference):

-   -   Multiplex genome engineering using CRISPR/Cas systems. Cong, L.,         Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P.         D., Wu, X., Jiang, W., Marraffini, L. A., & Zhang, F. Science         February 15; 339(6121):819-23 (2013);     -   RNA-guided editing of bacterial genomes using CRISPR-Cas         systems. Jiang W., Bikard D., Cox D., Zhang F, Marraffini L A.         Nat Biotechnol March; 31(3):233-9 (2013);     -   One-Step Generation of Mice Carrying Mutations in Multiple Genes         by CRISPR/Cas-Mediated Genome Engineering. Wang H., Yang H.,         Shivalila C S., Dawlaty M M., Cheng A W., Zhang F., Jaenisch R.         Cell May 9; 153(4):910-8 (2013);     -   Optical control of mammalian endogenous transcription and         epigenetic states. Konermann S, Brigham M D, Trevino A E, Hsu P         D, Heidenreich M, Cong L, Platt R J, Scott D A, Church G M,         Zhang F. Nature. August 22; 500(7463):472-6. doi:         10.1038Nature12466. Epub 2013 Aug. 23 (2013);     -   Double Nicking by RNA-Guided CRISPR Cas9 for Enhanced Genome         Editing Specificity. Ran, F A., Hsu, P D., Lin, C Y.,         Gootenberg, J S., Konermann, S., Trevino, A E., Scott, D A.,         Inoue, A., Matoba, S., Zhang, Y., & Zhang, F. Cell August 28.         pii: S0092-8674(13)01015-5 (2013-A);     -   DNA targeting specificity of RNA-guided Cas9 nucleases. Hsu, P.,         Scott, D., Weinstein, J., Ran, F A., Konermann, S., Agarwala,         V., Li, Y., Fine, E., Wu, X., Shalem, O., Cradick, T J.,         Marraffini, L A., Bao, G., & Zhang, F. Nat Biotechnol         doi:10.1038/nbt.2647 (2013);     -   Genome engineering using the CRISPR-Cas9 system. Ran, F A., Hsu,         P D., Wright, J., Agarwala, V., Scott, D A., Zhang, F. Nature         Protocols November; 8(11):2281-308 (2013-B);     -   Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells.         Shalem, O., Sanjana, N E., Hartenian, E., Shi, X., Scott, D A.,         Mikkelson, T., Heckl, D., Ebert, B L., Root, D E., Doench, J G.,         Zhang, F. Science December 12. (2013). [Epub ahead of print];     -   Crystal structure of cas9 in complex with guide RNA and target         DNA. Nishimasu, H., Ran, F A., Hsu, P D., Konermann, S.,         Shehata, S I., Dohmae, N., Ishitani, R., Zhang, F., Nureki, O.         Cell February 27, 156(5):935-49 (2014);     -   Genome-wide binding of the CRISPR endonuclease Cas9 in mammalian         cells. Wu X., Scott D A., Kriz A J., Chiu A C., Hsu P D., Dadon         D B., Cheng A W., Trevino A E., Konermann S., Chen S., Jaenisch         R., Zhang F., Sharp P A. Nat Biotechnol. April 20. doi:         10.1038/nbt.2889 (2014);     -   CRISPR-Cas9 Knockin Mice for Genome Editing and Cancer Modeling.         Platt R J, Chen S, Zhou Y, Yim M J, Swiech L, Kempton H R,         Dahlman J E, Parnas O, Eisenhaure™, Jovanovic M, Graham D B,         Jhunjhunwala S, Heidenreich M, Xavier R J, Langer R, Anderson D         G, Hacohen N, Regev A, Feng G, Sharp P A, Zhang F. Cell 159(2):         440-455 DOI: 10.1016/j.cell.2014.09.014(2014);     -   Development and Applications of CRISPR-Cas9 for Genome         Engineering, Hsu P D, Lander E S, Zhang F., Cell. June 5;         157(6):1262-78 (2014).     -   Genetic screens in human cells using the CRISPR/Cas9 system,         Wang T, Wei J J, Sabatini D M, Lander E S., Science. January 3;         343(6166): 80-84. doi:10.1126/science.1246981 (2014);     -   Rational design of highly active sgRNAs for CRISPR-Cas9-mediated         gene inactivation, Doench J G, Hartenian E, Graham D B, Tothova         Z, Hegde M, Smith I, Sullender M, Ebert B L, Xavier R J, Root D         E., (published online 3 Sep. 2014) Nat Biotechnol. December;         32(12):1262-7 (2014);     -   In vivo interrogation of gene function in the mammalian brain         using CRISPR-Cas9, Swiech L, Heidenreich M, Banerjee A, Habib N,         Li Y, Trombetta J, Sur M, Zhang F., (published online 19         Oct. 2014) Nat Biotechnol. January; 33(1):102-6 (2015);     -   Genome-scale transcriptional activation by an engineered         CRISPR-Cas9 complex, Konermann S, Brigham M D, Trevino A E,         Joung J, Abudayyeh O O, Barcena C, Hsu P D, Habib N, Gootenberg         J S, Nishimasu H, Nureki O, Zhang F., Nature. January 29;         517(7536):583-8 (2015).     -   A split-Cas9 architecture for inducible genome editing and         transcription modulation, Zetsche B, Volz S E, Zhang F.,         (published online 2 Feb. 2015) Nat Biotechnol. February;         33(2):139-42 (2015);     -   Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and         Metastasis, Chen S, Sanjana N E, Zheng K, Shalem O, Lee K, Shi         X, Scott D A, Song J, Pan J Q, Weissleder R, Lee H, Zhang F,         Sharp P A. Cell 160, 1246-1260, Mar. 12, 2015 (multiplex screen         in mouse), and     -   In vivo genome editing using Staphylococcus aureus Cas9, Ran F         A, Cong L, Yan W X, Scott D A, Gootenberg J S, Kriz A J, Zetsche         B, Shalem O, Wu X, Makarova K S, Koonin E V, Sharp P A, Zhang         F., (published online 1 Apr. 2015), Nature. April 9;         520(7546):186-91 (2015).     -   Shalem et al., “High-throughput functional genomics using         CRISPR-Cas9,” Nature Reviews Genetics 16, 299-311 (May 2015).     -   Xu et al., “Sequence determinants of improved CRISPR sgRNA         design,” Genome Research 25, 1147-1157 (August 2015).     -   Parnas et al., “A Genome-wide CRISPR Screen in Primary Immune         Cells to Dissect Regulatory Networks,” Cell 162, 675-686 (Jul.         30, 2015).     -   Ramanan et al., CRISPR/Cas9 cleavage of viral DNA efficiently         suppresses hepatitis B virus,” Scientific Reports 5:10833. doi:         10.1038/srep10833 (Jun. 2, 2015)     -   Nishimasu et al., Crystal Structure of Staphylococcus aureus         Cas9,” Cell 162, 1113-1126 (Aug. 27, 2015)     -   Zetsche et al., “Cpf1 Is a Single RNA-Guided Endonuclease of a         Class 2 CRISPR-Cas System,” Cell 163, 1-13 (Oct. 22, 2015)     -   Shmakov et al., “Discovery and Functional Characterization of         Diverse Class 2 CRISPR-Cas Systems,” Molecular Cell 60, 1-13         (Available online Oct. 22, 2015)         each of which is incorporated herein by reference, may be         considered in the practice of the instant invention, and         discussed briefly below:     -   Cong et al. engineered type II CRISPR-Cas systems for use in         eukaryotic cells based on both Streptococcus thermophilus Cas9         and also Streptococcus pyogenes Cas9 and demonstrated that Cas9         nucleases can be directed by short RNAs to induce precise         cleavage of DNA in human and mouse cells. Their study further         showed that Cas9 as converted into a nicking enzyme can be used         to facilitate homology-directed repair in eukaryotic cells with         minimal mutagenic activity. Additionally, their study         demonstrated that multiple guide sequences can be encoded into a         single CRISPR array to enable simultaneous editing of several at         endogenous genomic loci sites within the mammalian genome,         demonstrating easy programmability and wide applicability of the         RNA-guided nuclease technology. This ability to use RNA to         program sequence specific DNA cleavage in cells defined a new         class of genome engineering tools. These studies further showed         that other CRISPR loci are likely to be transplantable into         mammalian cells and can also mediate mammalian genome cleavage.         Importantly, it can be envisaged that several aspects of the         CRISPR-Cas system can be further improved to increase its         efficiency and versatility.     -   Jiang et al. used the clustered, regularly interspaced, short         palindromic repeats (CRISPR)-associated Cas9 endonuclease         complexed with dual-RNAs to introduce precise mutations in the         genomes of Streptococcus pneumoniae and Escherichia coli. The         approach relied on dual-RNA:Cas9-directed cleavage at the         targeted genomic site to kill unmutated cells and circumvents         the need for selectable markers or counter-selection systems.         The study reported reprogramming dual-RNA:Cas9 specificity by         changing the sequence of short CRISPR RNA (crRNA) to make         single- and multinucleotide changes carried on editing         templates. The study showed that simultaneous use of two crRNAs         enabled multiplex mutagenesis. Furthermore, when the approach         was used in combination with recombineering, in S. pneumoniae,         nearly 100% of cells that were recovered using the described         approach contained the desired mutation, and in E. coli, 65%         that were recovered contained the mutation.     -   Wang et al. (2013) used the CRISPR/Cas system for the one-step         generation of mice carrying mutations in multiple genes which         were traditionally generated in multiple steps by sequential         recombination in embryonic stem cells and/or time-consuming         intercrossing of mice with a single mutation. The CRISPR/Cas         system will greatly accelerate the in vivo study of functionally         redundant genes and of epistatic gene interactions.     -   Konermann et al. (2013) addressed the need in the art for         versatile and robust technologies that enable optical and         chemical modulation of DNA-binding domains based CRISPR Cas9         enzyme and also Transcriptional Activator Like Effectors     -   Ran et al. (2013-A) described an approach that combined a Cas9         nickase mutant with paired guide RNAs to introduce targeted         double-strand breaks. This addresses the issue of the Cas9         nuclease from the microbial CRISPR-Cas system being targeted to         specific genomic loci by a guide sequence, which can tolerate         certain mismatches to the DNA target and thereby promote         undesired off-target mutagenesis. Because individual nicks in         the genome are repaired with high fidelity, simultaneous nicking         via appropriately offset guide RNAs is required for         double-stranded breaks and extends the number of specifically         recognized bases for target cleavage. The authors demonstrated         that using paired nicking can reduce off-target activity by 50-         to 1,500-fold in cell lines and to facilitate gene knockout in         mouse zygotes without sacrificing on-target cleavage efficiency.         This versatile strategy enables a wide variety of genome editing         applications that require high specificity.     -   Hsu et al. (2013) characterized SpCas9 targeting specificity in         human cells to inform the selection of target sites and avoid         off-target effects. The study evaluated >700 guide RNA variants         and SpCas9-induced indel mutation levels at >100 predicted         genomic off-target loci in 293T and 293FT cells. The authors         that SpCas9 tolerates mismatches between guide RNA and target         DNA at different positions in a sequence-dependent manner,         sensitive to the number, position and distribution of         mismatches. The authors further showed that SpCas9-mediated         cleavage is unaffected by DNA methylation and that the dosage of         SpCas9 and sgRNA can be titrated to minimize off-target         modification. Additionally, to facilitate mammalian genome         engineering applications, the authors reported providing a         web-based software tool to guide the selection and validation of         target sequences as well as off-target analyses.     -   Ran et al. (2013-B) described a set of tools for Cas9-mediated         genome editing via non-homologous end joining (NHEJ) or         homology-directed repair (HDR) in mammalian cells, as well as         generation of modified cell lines for downstream functional         studies. To minimize off-target cleavage, the authors further         described a double-nicking strategy using the Cas9 nickase         mutant with paired guide RNAs. The protocol provided by the         authors experimentally derived guidelines for the selection of         target sites, evaluation of cleavage efficiency and analysis of         off-target activity. The studies showed that beginning with         target design, gene modifications can be achieved within as         little as 1-2 weeks, and modified clonal cell lines can be         derived within 2-3 weeks.     -   Shalem et al. described a new way to interrogate gene function         on a genome-wide scale. Their studies showed that delivery of a         genome-scale CRISPR-Cas9 knockout (GeCKO) library targeted         18,080 genes with 64,751 unique guide sequences enabled both         negative and positive selection screening in human cells. First,         the authors showed use of the GeCKO library to identify genes         essential for cell viability in cancer and pluripotent stem         cells. Next, in a melanoma model, the authors screened for genes         whose loss is involved in resistance to vemurafenib, a         therapeutic that inhibits mutant protein kinase BRAF. Their         studies showed that the highest-ranking candidates included         previously validated genes NF1 and MED12 as well as novel hits         NF2, CUL3, TADA2B, and TADA1. The authors observed a high level         of consistency between independent guide RNAs targeting the same         gene and a high rate of hit confirmation, and thus demonstrated         the promise of genome-scale screening with Cas9.     -   Nishimasu et al. reported the crystal structure of Streptococcus         pyogenes Cas9 in complex with sgRNA and its target DNA at 2.5 A°         resolution. The structure revealed a bilobed architecture         composed of target recognition and nuclease lobes, accommodating         the sgRNA:DNA heteroduplex in a positively charged groove at         their interface. Whereas the recognition lobe is essential for         binding sgRNA and DNA, the nuclease lobe contains the HNH and         RuvC nuclease domains, which are properly positioned for         cleavage of the complementary and non-complementary strands of         the target DNA, respectively. The nuclease lobe also contains a         carboxyl-terminal domain responsible for the interaction with         the protospacer adjacent motif (PAM). This high-resolution         structure and accompanying functional analyses have revealed the         molecular mechanism of RNA-guided DNA targeting by Cas9, thus         paving the way for the rational design of new, versatile         genome-editing technologies.     -   Wu et al. mapped genome-wide binding sites of a catalytically         inactive Cas9 (dCas9) from Streptococcus pyogenes loaded with         single guide RNAs (sgRNAs) in mouse embryonic stem cells         (mESCs). The authors showed that each of the four sgRNAs tested         targets dCas9 to between tens and thousands of genomic sites,         frequently characterized by a 5-nucleotide seed region in the         sgRNA and an NGG protospacer adjacent motif (PAM). Chromatin         inaccessibility decreases dCas9 binding to other sites with         matching seed sequences; thus 70% of off-target sites are         associated with genes. The authors showed that targeted         sequencing of 295 dCas9 binding sites in mESCs transfected with         catalytically active Cas9 identified only one site mutated above         background levels. The authors proposed a two-state model for         Cas9 binding and cleavage, in which a seed match triggers         binding but extensive pairing with target DNA is required for         cleavage.     -   Platt et al. established a Cre-dependent Cas9 knockin mouse. The         authors demonstrated in vivo as well as ex vivo genome editing         using adeno-associated virus (AAV)-, lentivirus-, or         particle-mediated delivery of guide RNA in neurons, immune         cells, and endothelial cells.     -   Hsu et al. (2014) is a review article that discusses generally         CRISPR-Cas9 history from yogurt to genome editing, including         genetic screening of cells.     -   Wang et al. (2014) relates to a pooled, loss-of-function genetic         screening approach suitable for both positive and negative         selection that uses a genome-scale lentiviral single guide RNA         (sgRNA) library.     -   Doench et al. created a pool of sgRNAs, tiling across all         possible target sites of a panel of six endogenous mouse and         three endogenous human genes and quantitatively assessed their         ability to produce null alleles of their target gene by antibody         staining and flow cytometry. The authors showed that         optimization of the PAM improved activity and also provided an         on-line tool for designing sgRNAs.     -   Swiech et al. demonstrate that AAV-mediated SpCas9 genome         editing can enable reverse genetic studies of gene function in         the brain.     -   Konermann et al. (2015) discusses the ability to attach multiple         effector domains, e.g., transcriptional activator, functional         and epigenomic regulators at appropriate positions on the guide         such as stem or tetraloop with and without linkers.     -   Zetsche et al. demonstrates that the Cas9 enzyme can be split         into two and hence the assembly of Cas9 for activation can be         controlled.     -   Chen et al. relates to multiplex screening by demonstrating that         a genome-wide in vivo CRISPR-Cas9 screen in mice reveals genes         regulating lung metastasis.     -   Ran et al. (2015) relates to SaCas9 and its ability to edit         genomes and demonstrates that one cannot extrapolate from         biochemical assays.     -   Shalem et al. (2015) described ways in which catalytically         inactive Cas9 (dCas9) fusions are used to synthetically repress         (CRISPRi) or activate (CRISPRa) expression, showing. advances         using Cas9 for genome-scale screens, including arrayed and         pooled screens, knockout approaches that inactivate genomic loci         and strategies that modulate transcriptional activity.     -   Xu et al. (2015) assessed the DNA sequence features that         contribute to single guide RNA (sgRNA) efficiency in         CRISPR-based screens. The authors explored efficiency of         CRISPR/Cas9 knockout and nucleotide preference at the cleavage         site. The authors also found that the sequence preference for         CRISPRi/a is substantially different from that for CRISPR/Cas9         knockout.     -   Parnas et al. (2015) introduced genome-wide pooled CRISPR-Cas9         libraries into dendritic cells (DCs) to identify genes that         control the induction of tumor necrosis factor (Tnf) by         bacterial lipopolysaccharide (LPS). Known regulators of Tlr4         signaling and previously unknown candidates were identified and         classified into three functional modules with distinct effects         on the canonical responses to LPS.     -   Ramanan et al (2015) demonstrated cleavage of viral episomal DNA         (cccDNA) in infected cells. The HBV genome exists in the nuclei         of infected hepatocytes as a 3.2kb double-stranded episomal DNA         species called covalently closed circular DNA (cccDNA), which is         a key component in the HBV life cycle whose replication is not         inhibited by current therapies. The authors showed that sgRNAs         specifically targeting highly conserved regions of HBV robustly         suppresses viral replication and depleted cccDNA.     -   Nishimasu et al. (2015) reported the crystal structures of         SaCas9 in complex with a single guide RNA (sgRNA) and its         double-stranded DNA targets, containing the 5′-TTGAAT-3′ PAM and         the 5′-TTGGGT-3′ PAM. A structural comparison of SaCas9 with         SpCas9 highlighted both structural conservation and divergence,         explaining their distinct PAM specificities and orthologous         sgRNA recognition.     -   Zetsche et al. (2015) reported the characterization of Cpf1, a         putative class 2 CRISPR effector. It was demonstrated that Cpf1         mediates robust DNA interference with features distinct from         Cas9. Identifying this mechanism of interference broadens our         understanding of CRISPR-Cas systems and advances their genome         editing applications.     -   Shmakov et al. (2015) reported the characterization of three         distinct Class 2 CRISPR-Cas systems. The effectors of two of the         identified systems, C2c1 and C2c3, contain RuvC like         endonuclease domains distantly related to Cpf1. The third         system, C2c2, contains an effector with two predicted HEPN RNase         domains.

Also, “Dimeric CRISPR RNA-guided FokI nucleases for highly specific genome editing”, Shengdar Q. Tsai, Nicolas Wyvekens, Cyd Khayter, Jennifer A. Foden, Vishal Thapar, Deepak Reyon, Mathew J. Goodwin, Martin J. Aryee, J. Keith Joung Nature Biotechnology 32(6): 569-77 (2014), relates to dimeric RNA-guided FokI Nucleases that recognize extended sequences and can edit endogenous genes with high efficiencies in human cells.

In addition, mention is made of PCT application PCT/US14/70057, Attorney Reference 47627.99.2060 and BI-2013/107 entitled “DELIVERY, USE AND THERAPEUTIC APPLICATIONS OF THE CRISPR-CAS SYSTEMS AND COMPOSITIONS FOR TARGETING DISORDERS AND DISEASES USING PARTICLE DELIVERY COMPONENTS (claiming priority from one or more or all of US provisional patent applications: 62/054,490, filed Sep. 24, 2014; 62/010,441, filed Jun. 10, 2014; and 61/915,118, 61/915,215 and 61/915,148, each filed on Dec. 12, 2013) (“the Particle Delivery PCT”), incorporated herein by reference, with respect to a method of preparing an sgRNA-and-Cas9 protein containing particle comprising admixing a mixture comprising an sgRNA and Cas9 protein (and optionally HDR template) with a mixture comprising or consisting essentially of or consisting of surfactant, phospholipid, biodegradable polymer, lipoprotein and alcohol; and particles from such a process. For example, wherein Cas9 protein and sgRNA were mixed together at a suitable, e.g., 3:1 to 1:3 or 2:1 to 1:2 or 1:1 molar ratio, at a suitable temperature, e.g., 15-30 C, e.g., 20-25 C, e.g., room temperature, for a suitable time, e.g., 15-45, such as 30 minutes, advantageously in sterile, nuclease free buffer, e.g., 1×PBS. Separately, particle components such as or comprising: a surfactant, e.g., cationic lipid, e.g., 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP); phospholipid, e.g., dimyristoylphosphatidylcholine (DMPC); biodegradable polymer, such as an ethylene-glycol polymer or PEG, and a lipoprotein, such as a low-density lipoprotein, e.g., cholesterol were dissolved in an alcohol, advantageously a C1-6 alkyl alcohol, such as methanol, ethanol, isopropanol, e.g., 100% ethanol. The two solutions were mixed together to form particles containing the Cas9-sgRNA complexes. Accordingly, sgRNA may be pre-complexed with the Cas9 protein, before formulating the entire complex in a particle. Formulations may be made with a different molar ratio of different components known to promote delivery of nucleic acids into cells (e.g. 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP), 1,2-ditetradecanoyl-sn-glycero-3-phosphocholine (DMPC), polyethylene glycol (PEG), and cholesterol) For example DOTAP:DMPC:PEG:Cholesterol Molar Ratios may be DOTAP 100, DMPC 0, PEG 0, Cholesterol 0; or DOTAP 90, DMPC 0, PEG 10, Cholesterol 0; or DOTAP 90, DMPC 0, PEG 5, Cholesterol 5. DOTAP 100, DMPC 0, PEG 0, Cholesterol 0. That application accordingly comprehends admixing sgRNA, Cas9 protein and components that form a particle; as well as particles from such admixing. Aspects of the instant invention can involve particles; for example, particles using a process analogous to that of the Particle Delivery PCT, e.g., by admixing a mixture comprising sgRNA and/or Cas9 as in the instant invention and components that form a particle, e.g., as in the Particle Delivery PCT, to form a particle and particles from such admixing (or, of course, other particles involving sgRNA and/or Cas9 as in the instant invention).

In general, the CRISPR-Cas or CRISPR system is as used in the foregoing documents, such as WO 2014/093622 (PCT/US2013/074667) and refers collectively to transcripts and other elements involved in the expression of or directing the activity of CRISPR-associated (“Cas”) genes, including sequences encoding a Cas gene, a tracr (trans-activating CRISPR) sequence (e.g. tracrRNA or an active partial tracrRNA), a tracr-mate sequence (encompassing a “direct repeat” and a tracrRNA-processed partial direct repeat in the context of an endogenous CRISPR system), a guide sequence (also referred to as a “spacer” in the context of an endogenous CRISPR system), or “RNA(s)” as that term is herein used (e.g., RNA(s) to guide Cas, such as Cas9, e.g. CRISPR RNA and transactivating (tracr) RNA or a single guide RNA (sgRNA) (chimeric RNA)) or other sequences and transcripts from a CRISPR locus. In general, a CRISPR system is characterized by elements that promote the formation of a CRISPR complex at the site of a target sequence (also referred to as a protospacer in the context of an endogenous CRISPR system). In the context of formation of a CRISPR complex, “target sequence” refers to a sequence to which a guide sequence is designed to have complementarity, where hybridization between a target sequence and a guide sequence promotes the formation of a CRISPR complex. A target sequence may comprise any polynucleotide, such as DNA or RNA polynucleotides. In some embodiments, a target sequence is located in the nucleus or cytoplasm of a cell. In some embodiments, direct repeats may be identified in silico by searching for repetitive motifs that fulfill any or all of the following criteria: 1. found in a 2Kb window of genomic sequence flanking the type II CRISPR locus; 2. span from 20 to 50 bp; and 3. interspaced by 20 to 50 bp. In some embodiments, 2 of these criteria may be used, for instance 1 and 2, 2 and 3, or 1 and 3. In some embodiments, all 3 criteria may be used.

In embodiments of the invention the terms guide sequence and guide RNA, i.e. RNA capable of guiding Cas to a target genomic locus, are used interchangeably as in foregoing cited documents such as WO 2014/093622 (PCT/US2013/074667). In general, a guide sequence is any polynucleotide sequence having sufficient complementarity with a target polynucleotide sequence to hybridize with the target sequence and direct sequence-specific binding of a CRISPR complex to the target sequence. In some embodiments, the degree of complementarity between a guide sequence and its corresponding target sequence, when optimally aligned using a suitable alignment algorithm, is about or more than about 50%, 60%, 75%, 80%, 85%, 90%, 95%, 97.5%, 99%, or more. Optimal alignment may be determined with the use of any suitable algorithm for aligning sequences, non-limiting example of which include the Smith-Waterman algorithm, the Needleman-Wunsch algorithm, algorithms based on the Burrows-Wheeler Transform (e.g. the Burrows Wheeler Aligner), ClustalW, Clustal X, BLAT, Novoalign (Novocraft Technologies; available at www.novocraft.com), ELAND (Illumina, San Diego, Calif.), SOAP (available at soap.genomics.org.cn), and Maq (available at maq.sourceforge.net). In some embodiments, a guide sequence is about or more than about 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, 75, or more nucleotides in length. In some embodiments, a guide sequence is less than about 75, 50, 45, 40, 35, 30, 25, 20, 15, 12, or fewer nucleotides in length. Preferably the guide sequence is 10 30 nucleotides long. The ability of a guide sequence to direct sequence-specific binding of a CRISPR complex to a target sequence may be assessed by any suitable assay. For example, the components of a CRISPR system sufficient to form a CRISPR complex, including the guide sequence to be tested, may be provided to a host cell having the corresponding target sequence, such as by transfection with vectors encoding the components of the CRISPR sequence, followed by an assessment of preferential cleavage within the target sequence, such as by Surveyor assay as described herein. Similarly, cleavage of a target polynucleotide sequence may be evaluated in a test tube by providing the target sequence, components of a CRISPR complex, including the guide sequence to be tested and a control guide sequence different from the test guide sequence, and comparing binding or rate of cleavage at the target sequence between the test and control guide sequence reactions. Other assays are possible, and will occur to those skilled in the art.

In a classic CRISPR-Cas systems, the degree of complementarity between a guide sequence and its corresponding target sequence can be about or more than about 50%, 60%, 75%, 80%, 85%, 90%, 95%, 97.5%, 99%, or 100%; a guide or RNA or sgRNA can be about or more than about 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, 75, or more nucleotides in length; or guide or RNA or sgRNA can be less than about 75, 50, 45, 40, 35, 30, 25, 20, 15, 12, or fewer nucleotides in length; and advantageously tracr RNA is 30 or 50 nucleotides in length. However, an aspect of the invention is to reduce off-target interactions, e.g., reduce the guide interacting with a target sequence having low complementarity. Indeed, in the examples, it is shown that the invention involves mutations that result in the CRISPR-Cas system being able to distinguish between target and off-target sequences that have greater than 80% to about 95% complementarity, e.g., 83%-84% or 88-89% or 94-95% complementarity (for instance, distinguishing between a target having 18 nucleotides from an off-target of 18 nucleotides having 1, 2 or 3 mismatches). Accordingly, in the context of the present invention the degree of complementarity between a guide sequence and its corresponding target sequence is greater than 94.5% or 95% or 95.5% or 96% or 96.5% or 97% or 97.5% or 98% or 98.5% or 99% or 99.5% or 99.9%, or 100%. Off target is less than 100% or 99.9% or 99.5% or 99% or 99% or 98.5% or 98% or 97.5% or 97% or 96.5% or 96% or 95.5% or 95% or 94.5% or 94% or 93% or 92% or 91% or 90% or 89% or 88% or 87% or 86% or 85% or 84% or 83% or 82% or 81% or 80% complementarity between the sequence and the guide, with it advantageous that off target is 100% or 99.9% or 99.5% or 99% or 99% or 98.5% or 98% or 97.5% or 97% or 96.5% or 96% or 95.5% or 95% or 94.5% complementarity between the sequence and the guide.

In particularly preferred embodiments according to the invention, the guide RNA (capable of guiding Cas to a target locus) may comprise (1) a guide sequence capable of hybridizing to a genomic target locus in the eukaryotic cell; (2) a tracr sequence; and (3) a tracr mate sequence. All (1) to (3) may reside in a single RNA, i.e. an sgRNA (arranged in a 5′ to 3′ orientation), or the tracr RNA may be a different RNA than the RNA containing the guide and tracr sequence. The tracr hybridizes to the tracr mate sequence and directs the CRISPR/Cas complex to the target sequence.

The methods according to the invention as described herein comprehend inducing one or more mutations in a eukaryotic cell (in vitro, i.e. in an isolated eukaryotic cell) as herein discussed comprising delivering to cell a vector as herein discussed. The mutation(s) can include the introduction, deletion, or substitution of one or more nucleotides at each target sequence of cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations can include the introduction, deletion, or substitution of 1-75 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations can include the introduction, deletion, or substitution of 1, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, or 75 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations can include the introduction, deletion, or substitution of 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, or 75 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations include the introduction, deletion, or substitution of 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, or 75 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations can include the introduction, deletion, or substitution of 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 35, 40, 45, 50, or 75 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s). The mutations can include the introduction, deletion, or substitution of 40, 45, 50, 75, 100, 200, 300, 400 or 500 nucleotides at each target sequence of said cell(s) via the guide(s) RNA(s) or sgRNA(s).

For minimization of toxicity and off-target effect, it will be important to control the concentration of Cas mRNA and guide RNA delivered. Optimal concentrations of Cas mRNA and guide RNA can be determined by testing different concentrations in a cellular or non-human eukaryote animal model and using deep sequencing the analyze the extent of modification at potential off-target genomic loci. Alternatively, to minimize the level of toxicity and off-target effect, Cas nickase mRNA (for example S. pyogenes Cas9 with the D10A mutation) can be delivered with a pair of guide RNAs targeting a site of interest. Guide sequences and strategies to minimize toxicity and off-target effects can be as in WO 2014/093622 (PCT/US2013/074667); or, via mutation as herein.

Typically, in the context of an endogenous CRISPR system, formation of a CRISPR complex (comprising a guide sequence hybridized to a target sequence and complexed with one or more Cas proteins) results in cleavage of one or both strands in or near (e.g. within 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 50, or more base pairs from) the target sequence. Without wishing to be bound by theory, the tracr sequence, which may comprise or consist of all or a portion of a wild-type tracr sequence (e.g. about or more than about 20, 26, 32, 45, 48, 54, 63, 67, 85, or more nucleotides of a wild-type tracr sequence), may also form part of a CRISPR complex, such as by hybridization along at least a portion of the tracr sequence to all or a portion of a tracr mate sequence that is operably linked to the guide sequence.

The nucleic acid molecule encoding a Cas is advantageously codon optimized Cas. An example of a codon optimized sequence, is in this instance a sequence optimized for expression in a eukaryote, e.g., humans (i.e. being optimized for expression in humans), or for another eukaryote, animal or mammal as herein discussed; see, e.g., SaCas9 human codon optimized sequence in WO 2014/093622 (PCT/US2013/074667). Whilst this is preferred, it will be appreciated that other examples are possible and codon optimization for a host species other than human, or for codon optimization for specific organs is known. In some embodiments, an enzyme coding sequence encoding a Cas is codon optimized for expression in particular cells, such as eukaryotic cells. The eukaryotic cells may be those of or derived from a particular organism, such as a mammal, including but not limited to human, or non-human eukaryote or animal or mammal as herein discussed, e.g., mouse, rat, rabbit, dog, livestock, or non-human mammal or primate. In some embodiments, processes for modifying the germ line genetic identity of human beings and/or processes for modifying the genetic identity of animals which are likely to cause them suffering without any substantial medical benefit to man or animal, and also animals resulting from such processes, may be excluded. In general, codon optimization refers to a process of modifying a nucleic acid sequence for enhanced expression in the host cells of interest by replacing at least one codon (e.g. about or more than about 1, 2, 3, 4, 5, 10, 15, 20, 25, 50, or more codons) of the native sequence with codons that are more frequently or most frequently used in the genes of that host cell while maintaining the native amino acid sequence. Various species exhibit particular bias for certain codons of a particular amino acid. Codon bias (differences in codon usage between organisms) often correlates with the efficiency of translation of messenger RNA (mRNA), which is in turn believed to be dependent on, among other things, the properties of the codons being translated and the availability of particular transfer RNA (tRNA) molecules. The predominance of selected tRNAs in a cell is generally a reflection of the codons used most frequently in peptide synthesis. Accordingly, genes can be tailored for optimal gene expression in a given organism based on codon optimization. Codon usage tables are readily available, for example, at the “Codon Usage Database” available at www.kazusa.orjp/codon/ and these tables can be adapted in a number of ways. See Nakamura, Y., et al. “Codon usage tabulated from the international DNA sequence databases: status for the year 2000” Nucl. Acids Res. 28:292 (2000). Computer algorithms for codon optimizing a particular sequence for expression in a particular host cell are also available, such as Gene Forge (Aptagen; Jacobus, Pa.), are also available. In some embodiments, one or more codons (e.g. 1, 2, 3, 4, 5, 10, 15, 20, 25, 50, or more, or all codons) in a sequence encoding a Cas correspond to the most frequently used codon for a particular amino acid.

In certain embodiments, the methods as described herein may comprise providing a Cas transgenic cell in which one or more nucleic acids encoding one or more guide RNAs are provided or introduced operably connected in the cell with a regulatory element comprising a promoter of one or more gene of interest. As used herein, the term “Cas transgenic cell” refers to a cell, such as a eukaryotic cell, in which a Cas gene has been genomically integrated. The nature, type, or origin of the cell are not particularly limiting according to the present invention. Also the way how the Cas transgene is introduced in the cell is may vary and can be any method as is known in the art. In certain embodiments, the Cas transgenic cell is obtained by introducing the Cas transgene in an isolated cell. In certain other embodiments, the Cas transgenic cell is obtained by isolating cells from a Cas transgenic organism. By means of example, and without limitation, the Cas transgenic cell as referred to herein may be derived from a Cas transgenic eukaryote, such as a Cas knock-in eukaryote. Reference is made to WO 2014/093622 (PCT/US13/74667), incorporated herein by reference. Methods of US Patent Publication Nos. 20120017290 and 20110265198 assigned to Sangamo BioSciences, Inc. directed to targeting the Rosa locus may be modified to utilize the CRISPR Cas system of the present invention. Methods of US Patent Publication No. 20130236946 assigned to Cellectis directed to targeting the Rosa locus may also be modified to utilize the CRISPR Cas system of the present invention. By means of further example reference is made to Platt et. al. (Cell; 159(2):440-455 (2014)), describing a Cas9 knock-in mouse, which is incorporated herein by reference. The Cas transgene can further comprise a Lox-Stop-polyA-Lox(LSL) cassette thereby rendering Cas expression inducible by Cre recombinase. Alternatively, the Cas transgenic cell may be obtained by introducing the Cas transgene in an isolated cell. Delivery systems for transgenes are well known in the art. By means of example, the Cas transgene may be delivered in for instance eukaryotic cell by means of vector (e.g., AAV, adenovirus, lentivirus) and/or particle and/or nanoparticle delivery, as also described herein elsewhere.

It will be understood by the skilled person that the cell, such as the Cas transgenic cell, as referred to herein may comprise further genomic alterations besides having an integrated Cas gene or the mutations arising from the sequence specific action of Cas when complexed with RNA capable of guiding Cas to a target locus, such as for instance one or more oncogenic mutations, as for instance and without limitation described in Platt et al. (2014), Chen et al., (2014) or Kumar et al. (2009).

In some embodiments, the Cas sequence is fused to one or more nuclear localization sequences (NLSs), such as about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more NLSs. In some embodiments, the Cas comprises about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more NLSs at or near the amino-terminus, about or more than about 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or more NLSs at or near the carboxy-terminus, or a combination of these (e.g. zero or at least one or more NLS at the amino-terminus and zero or at one or more NLS at the carboxy terminus). When more than one NLS is present, each may be selected independently of the others, such that a single NLS may be present in more than one copy and/or in combination with one or more other NLSs present in one or more copies. In a preferred embodiment of the invention, the Cas comprises at most 6 NLSs. In some embodiments, an NLS is considered near the N- or C-terminus when the nearest amino acid of the NLS is within about 1, 2, 3, 4, 5, 10, 15, 20, 25, 30, 40, 50, or more amino acids along the polypeptide chain from the N- or C-terminus. Non-limiting examples of NLSs include an NLS sequence derived from: the NLS of the SV40 virus large T-antigen, having the amino acid sequence PKKKRKV (SEQ ID NO: 94); the NLS from nucleoplasmin (e.g. the nucleoplasmin bipartite NLS with the sequence KRPAATKKAGQAKKKK) (SEQ ID NO: 95); the c-myc NLS having the amino acid sequence PAAKRVKLD (SEQ ID NO: 96) or RQRRNELKRSP (SEQ ID NO: 97); the hRNPA1 M9 NLS having the sequence NQSSNFGPMKGGNFGGRSSGPYGGGGQYFAKPRNQGGY(SEQ ID NO: 98); the sequence RMRIZFKNKGKDTAELRRRRVEVSVELRKAKKDEQILKRRNV (SEQ ID NO: 99) of the IBB domain from importin-alpha; the sequences VSRKRPRP (SEQ ID NO: 100) and PPKKARED (SEQ ID NO: 101) of the myoma T protein; the sequence PQPKKKPL (SEQ ID NO: 102) of human p53; the sequence SALIKKKKKMAP (SEQ ID NO: 103) of mouse c-abl IV; the sequences DRLRR (SEQ ID NO: 104) and PKQKKRK (SEQ ID NO: 105) of the influenza virus NS1; the sequence RKLKKKIKKL (SEQ ID NO: 106) of the Hepatitis virus delta antigen; the sequence REKKKFLKRR (SEQ ID NO: 107) of the mouse Mx1 protein; the sequence KRKGDEVDGVDEVAKKKSKK (SEQ ID NO: 108) of the human poly(ADP-ribose) polymerase; and the sequence RKCLQAGMNLEARKTKK (SEQ ID NO: 109) of the steroid hormone receptors (human) glucocorticoid. In general, the one or more NLSs are of sufficient strength to drive accumulation of the Cas in a detectable amount in the nucleus of a eukaryotic cell. In general, strength of nuclear localization activity may derive from the number of NLSs in the Cas, the particular NLS(s) used, or a combination of these factors. Detection of accumulation in the nucleus may be performed by any suitable technique. For example, a detectable marker may be fused to the Cas, such that location within a cell may be visualized, such as in combination with a means for detecting the location of the nucleus (e.g. a stain specific for the nucleus such as DAPI). Cell nuclei may also be isolated from cells, the contents of which may then be analyzed by any suitable process for detecting protein, such as immunohistochemistry, Western blot, or enzyme activity assay. Accumulation in the nucleus may also be determined indirectly, such as by an assay for the effect of CRISPR complex formation (e.g. assay for DNA cleavage or mutation at the target sequence, or assay for altered gene expression activity affected by CRISPR complex formation and/or Cas enzyme activity), as compared to a control no exposed to the Cas or complex, or exposed to a Cas lacking the one or more NLSs.

In certain embodiments, the DNA-targeting agent may comprise a transcription activator-like effector (TALE) protein or DNA-binding domain thereof. Hence, certain embodiments may make use of isolated, non-naturally occurring, recombinant or engineered DNA binding proteins that comprise TALE monomers or TALE monomers or half monomers as a part of their organizational structure that enable the targeting of nucleic acid sequences with improved efficiency and expanded specificity.

Naturally occurring TALEs or “wild type TALEs” are nucleic acid binding proteins secreted by numerous species of proteobacteria. TALE polypeptides contain a nucleic acid binding domain composed of tandem repeats of highly conserved monomer polypeptides that are predominantly 33, 34 or 35 amino acids in length and that differ from each other mainly in amino acid positions 12 and 13. In advantageous embodiments the nucleic acid is DNA. As used herein, the term “polypeptide monomers”, “TALE monomers” or “monomers” will be used to refer to the highly conserved repetitive polypeptide sequences within the TALE nucleic acid binding domain and the term “repeat variable di-residues” or “RVD” will be used to refer to the highly variable amino acids at positions 12 and 13 of the polypeptide monomers. As provided throughout the disclosure, the amino acid residues of the RVD are depicted using the IUPAC single letter code for amino acids. A general representation of a TALE monomer which is comprised within the DNA binding domain is X1-11-(X12X13)-X14-33 or 34 or 35, where the subscript indicates the amino acid position and X represents any amino acid. X12X13 indicate the RVDs. In some polypeptide monomers, the variable amino acid at position 13 is missing or absent and in such monomers, the RVD consists of a single amino acid. In such cases the RVD may be alternatively represented as X*, where X represents X12 and (*) indicates that X13 is absent. The DNA binding domain comprises several repeats of TALE monomers and this may be represented as (X1-11-(X12X13)-X14-33 or 34 or 35)z, where in an advantageous embodiment, z is at least 5 to 40. In a further advantageous embodiment, z is at least 10 to 26.

The TALE monomers have a nucleotide binding affinity that is determined by the identity of the amino acids in its RVD. For example, polypeptide monomers with an RVD of NI preferentially bind to adenine (A), monomers with an RVD of NG preferentially bind to thymine (T), monomers with an RVD of HD preferentially bind to cytosine (C) and monomers with an RVD of NN preferentially bind to both adenine (A) and guanine (G). In yet another embodiment of the invention, monomers with an RVD of IG preferentially bind to T. Thus, the number and order of the polypeptide monomer repeats in the nucleic acid binding domain of a TALE determines its nucleic acid target specificity. In still further embodiments of the invention, monomers with an RVD of NS recognize all four base pairs and may bind to A, T, G or C. The structure and function of TALEs is further described in, for example, Moscou et al., Science 326:1501 (2009); Boch et al., Science 326:1509-1512 (2009); and Zhang et al., Nature Biotechnology 29:149-153 (2011), each of which is incorporated by reference in its entirety.

The polypeptides used in methods of certain embodiments of the invention are isolated, non-naturally occurring, recombinant or engineered nucleic acid-binding proteins that have nucleic acid or DNA binding regions containing polypeptide monomer repeats that are designed to target specific nucleic acid sequences.

As described herein, polypeptide monomers having an RVD of HN or NH preferentially bind to guanine and thereby allow the generation of TALE polypeptides with high binding specificity for guanine containing target nucleic acid sequences. In a preferred embodiment of the invention, polypeptide monomers having RVDs RN, NN, NK, SN, NH, KN, HN, NQ, HH, RG, KH, RH and SS preferentially bind to guanine. In a much more advantageous embodiment of the invention, polypeptide monomers having RVDs RN, NK, NQ, HH, KH, RH, SS and SN preferentially bind to guanine and thereby allow the generation of TALE polypeptides with high binding specificity for guanine containing target nucleic acid sequences. In an even more advantageous embodiment of the invention, polypeptide monomers having RVDs HH, KH, NH, NK, NQ, RH, RN and SS preferentially bind to guanine and thereby allow the generation of TALE polypeptides with high binding specificity for guanine containing target nucleic acid sequences. In a further advantageous embodiment, the RVDs that have high binding specificity for guanine are RN, NH RH and KH. Furthermore, polypeptide monomers having an RVD of NV preferentially bind to adenine and guanine. In more preferred embodiments of the invention, monomers having RVDs of H*, HA, KA, N*, NA, NC, NS, RA, and S* bind to adenine, guanine, cytosine and thymine with comparable affinity.

The predetermined N-terminal to C-terminal order of the one or more polypeptide monomers of the nucleic acid or DNA binding domain determines the corresponding predetermined target nucleic acid sequence to which the polypeptides of the invention will bind. As used herein the monomers and at least one or more half monomers are “specifically ordered to target” the genomic locus or gene of interest. In plant genomes, the natural TALE-binding sites always begin with a thymine (T), which may be specified by a cryptic signal within the non-repetitive N-terminus of the TALE polypeptide; in some cases this region may be referred to as repeat 0. In animal genomes, TALE binding sites do not necessarily have to begin with a thymine (T) and polypeptides of the invention may target DNA sequences that begin with T, A, G or C. The tandem repeat of TALE monomers always ends with a half-length repeat or a stretch of sequence that may share identity with only the first 20 amino acids of a repetitive full length TALE monomer and this half repeat may be referred to as a half-monomer. Therefore, it follows that the length of the nucleic acid or DNA being targeted is equal to the number of full monomers plus two.

As described in Zhang et al., Nature Biotechnology 29:149-153 (2011), TALE polypeptide binding efficiency may be increased by including amino acid sequences from the “capping regions” that are directly N-terminal or C-terminal of the DNA binding region of naturally occurring TALEs into the engineered TALEs at positions N-terminal or C-terminal of the engineered TALE DNA binding region. Thus, in certain embodiments, the TALE polypeptides described herein further comprise an N-terminal capping region and/or a C-terminal capping region.

An exemplary amino acid sequence of a N-terminal capping region is:

(SEQ ID NO: 92) M D P I R S R T P S P A R E L L S G P Q P D G V Q P T A D R G V S P P A G G P L D G L P A R R T M S R T R L P S P P A P S P A F S A D S F S D L L R Q F D P S L F N T S L F D S L P P F G A H H T E A A T G E W D E V Q S G L R A A D A P P P T M R V A V T A A R P P R A K P A P R R R A A Q P S D A S P A A Q V D L R T L G Y S Q Q Q Q E K I K P K V R S T V A Q H H E A L V G H G F T H A H I V A L S Q H P A A L G T V A V K Y Q D M I A A L P E A T H E A I V G V G K Q W S G A R A L E A L L T V A G E L R G P P L Q L D T G Q L L K I A K R G G V T A V E A V H A W R N A L T G A P L N

An exemplary amino acid sequence of a C-terminal capping region is:

(SEQ ID NO: 93) R P A L E S I V A Q L S R P D P A L A A L T N D H L V A L A C L G G R P A L D A V K K G L P H A P A L I K R T N R R I P E R T S H R V A D H A Q V V R V L G F F Q C H S H P A Q A F D D A M T Q F G M S R H G L L Q L F R R V G V T E L E A R S G T L P P A S Q R W D R I L Q A S G M K R A K P S P T S T Q T P D Q A S L H A F A D S L E R D L D A P S P M H E G D Q T R A S

As used herein the predetermined “N-terminus” to “C terminus” orientation of the N-terminal capping region, the DNA binding domain comprising the repeat TALE monomers and the C-terminal capping region provide structural basis for the organization of different domains in the d-TALEs or polypeptides of the invention.

The entire N-terminal and/or C-terminal capping regions are not necessary to enhance the binding activity of the DNA binding region. Therefore, in certain embodiments, fragments of the N-terminal and/or C-terminal capping regions are included in the TALE polypeptides described herein.

In certain embodiments, the TALE polypeptides described herein contain a N-terminal capping region fragment that included at least 10, 20, 30, 40, 50, 54, 60, 70, 80, 87, 90, 94, 100, 102, 110, 117, 120, 130, 140, 147, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 250, 260 or 270 amino acids of an N-terminal capping region. In certain embodiments, the N-terminal capping region fragment amino acids are of the C-terminus (the DNA-binding region proximal end) of an N-terminal capping region. As described in Zhang et al., Nature Biotechnology 29:149-153 (2011), N-terminal capping region fragments that include the C-terminal 240 amino acids enhance binding activity equal to the full length capping region, while fragments that include the C-terminal 147 amino acids retain greater than 80% of the efficacy of the full length capping region, and fragments that include the C-terminal 117 amino acids retain greater than 50% of the activity of the full-length capping region.

In some embodiments, the TALE polypeptides described herein contain a C-terminal capping region fragment that included at least 6, 10, 20, 30, 37, 40, 50, 60, 68, 70, 80, 90, 100, 110, 120, 127, 130, 140, 150, 155, 160, 170, 180 amino acids of a C-terminal capping region. In certain embodiments, the C-terminal capping region fragment amino acids are of the N-terminus (the DNA-binding region proximal end) of a C-terminal capping region. As described in Zhang et al., Nature Biotechnology 29:149-153 (2011), C-terminal capping region fragments that include the C-terminal 68 amino acids enhance binding activity equal to the full length capping region, while fragments that include the C-terminal 20 amino acids retain greater than 50% of the efficacy of the full length capping region.

In certain embodiments, the capping regions of the TALE polypeptides described herein do not need to have identical sequences to the capping region sequences provided herein. Thus, in some embodiments, the capping region of the TALE polypeptides described herein have sequences that are at least 50%, 60%, 70%, 80%, 85%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98% or 99% identical or share identity to the capping region amino acid sequences provided herein. Sequence identity is related to sequence homology. Homology comparisons may be conducted by eye, or more usually, with the aid of readily available sequence comparison programs. These commercially available computer programs may calculate percent (%) homology between two or more sequences and may also calculate the sequence identity shared by two or more amino acid or nucleic acid sequences. In some preferred embodiments, the capping region of the TALE polypeptides described herein have sequences that are at least 95% identical or share identity to the capping region amino acid sequences provided herein.

Sequence homologies may be generated by any of a number of computer programs known in the art, which include but are not limited to BLAST or FASTA. Suitable computer program for carrying out alignments like the GCG Wisconsin Bestfit package may also be used. Once the software has produced an optimal alignment, it is possible to calculate % homology, preferably % sequence identity. The software typically does this as part of the sequence comparison and generates a numerical result.

In certain embodiments, the DNA-targeting agent may comprise a zinc finger protein or DNA-binding domain thereof. Artificial zinc-finger (ZF) technology allows to provide programmable DNA-binding domains, and involves arrays of ZF modules to target new DNA-binding sites in the genome. Each finger module in a ZF array targets three DNA bases. A customized array of individual zinc finger domains is assembled into a ZF protein (ZFP). ZFPs can comprise a functional domain. The first synthetic zinc finger nucleases (ZFNs) were developed by fusing a ZF protein to the catalytic domain of the Type IIS restriction enzyme FokI. (Kim, Y. G. et al., 1994, Chimeric restriction endonuclease, Proc. Natl. Acad. Sci. U.S.A. 91, 883-887; Kim, Y. G. et al., 1996, Hybrid restriction enzymes: zinc finger fusions to Fok I cleavage domain. Proc. Natl. Acad. Sci. U.S.A. 93, 1156-1160). Increased cleavage specificity can be attained with decreased off target activity by use of paired ZFN heterodimers, each targeting different nucleotide sequences separated by a short spacer. (Doyon, Y. et al., 2011, Enhancing zinc-finger-nuclease activity with improved obligate heterodimeric architectures. Nat. Methods 8, 74-79).

In certain embodiments, the protein comprising the DNA-targeting agent may further comprise one or more suitable effector portions or domains. The terms “effector domain” or “regulatory and functional domain” refer to a polypeptide sequence that has an activity other than binding to the nucleic acid sequence recognized by the nucleic acid binding domain. By combining a nucleic acid binding domain with one or more effector domains, the polypeptides of the invention may be used to target the one or more functions or activities mediated by the effector domain to a particular target DNA sequence to which the nucleic acid binding domain specifically binds.

In some embodiments, the activity mediated by the effector domain is a biological activity. For example, in some embodiments the effector domain may be a transcriptional inhibitor (i.e., a repressor domain), such as an mSin interaction domain (SID). SID4× domain or a Krüppel-associated box (KRAB) or fragments of the KRAB domain. In some embodiments the effector domain may be an enhancer of transcription (i.e. an activation domain), such as the VP16, VP64 or p65 activation domain. In some embodiments, the nucleic acid binding portion may be linked, for example, with an effector domain that includes but is not limited to a transposase, integrase, recombinase, resolvase, invertase, protease, DNA methyltransferase, DNA demethylase, histone acetylase, histone deacetylase, nuclease, transcriptional repressor, transcriptional activator, transcription factor recruiting, protein nuclear-localization signal or cellular uptake signal. In some embodiments, the effector domain may be a protein domain which exhibits activities which include but are not limited to transposase activity, integrase activity, recombinase activity, resolvase activity, invertase activity, protease activity, DNA methyltransferase activity, DNA demethylase activity, histone acetylase activity, histone deacetylase activity, nuclease activity, nuclear-localization signaling activity, transcriptional repressor activity, transcriptional activator activity, transcription factor recruiting activity, or cellular uptake signaling activity. Other preferred embodiments of the invention may include any combination the activities described herein.

Adoptive Cell Transfer (ACT)

The immune cells of the present invention may be used for adoptive cell transfer. Adoptive cell therapy (ACT) can refer to the transfer of cells, most commonly immune-derived cells, back into the same patient or into a new recipient host with the goal of transferring the immunologic functionality and characteristics into the new host. If possible, use of autologous cells helps the recipient by minimizing GVHD issues. The adoptive transfer of autologous tumor infiltrating lymphocytes (TIL) (Besser et al., (2010) Clin. Cancer Res 16 (9) 2646-55; Dudley et al., (2002) Science 298 (5594): 850-4; and Dudley et al., (2005) Journal of Clinical Oncology 23 (10): 2346-57) or genetically re-directed peripheral blood mononuclear cells (Johnson et al., (2009) Blood 114 (3): 535-46; and Morgan et al., (2006) Science 314(5796) 126-9) has been used to successfully treat patients with advanced solid tumors, including melanoma and colorectal carcinoma, as well as patients with CD19-expressing hematologic malignancies (Kalos et al., (2011) Science Translational Medicine 3 (95): 95ra73).

Aspects of the invention involve the adoptive transfer of immune system cells, such as T cells, specific for selected antigens, such as tumor associated antigens (see Maus et al., 2014, Adoptive Immunotherapy for Cancer or Viruses, Annual Review of Immunology, Vol. 32: 189-225; Rosenberg and Restifo, 2015, Adoptive cell transfer as personalized immunotherapy for human cancer, Science Vol. 348 no. 6230 pp. 62-68; Restifo et al., 2015, Adoptive immunotherapy for cancer: harnessing the T cell response. Nat. Rev. Immunol. 12(4): 269-281; and Jenson and Riddell, 2014, Design and implementation of adoptive therapy with chimeric antigen receptor-modified T cells. Immunol Rev. 257(1): 127-144). Various strategies may for example be employed to genetically modify T cells by altering the specificity of the T cell receptor (TCR) for example by introducing new TCR α and β chains with selected peptide specificity (see U.S. Pat. No. 8,697,854; PCT Patent Publications: WO2003020763, WO2004033685, WO2004044004, WO2005114215, WO2006000830, WO2008038002, WO2008039818, WO2004074322, WO2005113595, WO2006125962, WO2013166321, WO2013039889, WO2014018863, WO2014083173; U.S. Pat. No. 8,088,379).

As an alternative to, or addition to, TCR modifications, chimeric antigen receptors (CARs) may be used in order to generate immunoresponsive cells, such as T cells, specific for selected targets, such as malignant cells, with a wide variety of receptor chimera constructs having been described (see U.S. Pat. Nos. 5,843,728; 5,851,828; 5,912,170; 6,004,811; 6,284,240; 6,392,013; 6,410,014; 6,753,162; 8,211,422; and, PCT Publication WO9215322).

In general, CARs are comprised of an extracellular domain, a transmembrane domain, and an intracellular domain, wherein the extracellular domain comprises an antigen-binding domain that is specific for a predetermined target. While the antigen-binding domain of a CAR is often an antibody or antibody fragment (e.g., a single chain variable fragment, scFv), the binding domain is not particularly limited so long as it results in specific recognition of a target. For example, in some embodiments, the antigen-binding domain may comprise a receptor, such that the CAR is capable of binding to the ligand of the receptor. Alternatively, the antigen-binding domain may comprise a ligand, such that the CAR is capable of binding the endogenous receptor of that ligand.

The antigen-binding domain of a CAR is generally separated from the transmembrane domain by a hinge or spacer. The spacer is also not particularly limited, and it is designed to provide the CAR with flexibility. For example, a spacer domain may comprise a portion of a human Fc domain, including a portion of the CH3 domain, or the hinge region of any immunoglobulin, such as IgA, IgD, IgE, IgG, or IgM, or variants thereof. Furthermore, the hinge region may be modified so as to prevent off-target binding by FcRs or other potential interfering objects. For example, the hinge may comprise an IgG4 Fc domain with or without a S228P, L235E, and/or N297Q mutation (according to Kabat numbering) in order to decrease binding to FcRs. Additional spacers/hinges include, but are not limited to, CD4, CD8, and CD28 hinge regions.

The transmembrane domain of a CAR may be derived either from a natural or from a synthetic source. Where the source is natural, the domain may be derived from any membrane-bound or transmembrane protein. Transmembrane regions of particular use in this disclosure may be derived from CD8, CD28, CD3, CD45, CD4, CD5, CDS, CD9, CD 16, CD22, CD33, CD37, CD64, CD80, CD86, CD 134, CD137, CD 154, TCR. Alternatively the transmembrane domain may be synthetic, in which case it will comprise predominantly hydrophobic residues such as leucine and valine. Preferably a triplet of phenylalanine, tryptophan and valine will be found at each end of a synthetic transmembrane domain. Optionally, a short oligo- or polypeptide linker, preferably between 2 and 10 amino acids in length may form the linkage between the transmembrane domain and the cytoplasmic signaling domain of the CAR. A glycine-serine doublet provides a particularly suitable linker.

Alternative CAR constructs may be characterized as belonging to successive generations. First-generation CARs typically consist of a single-chain variable fragment of an antibody specific for an antigen, for example comprising a V_(L) linked to a V_(H) of a specific antibody, linked by a flexible linker, for example by a CD8α hinge domain and a CD8α transmembrane domain, to the transmembrane and intracellular signaling domains of either CD3ζ or FcRγ (scFv-CD3ζ or scFv-FcRγ; see U.S. Pat. Nos. 7,741,465; 5,912,172; 5,906,936). Second-generation CARs incorporate the intracellular domains of one or more costimulatory molecules, such as CD28, OX40 (CD134), or 4-1BB (CD137) within the endodomain (for example scFv-CD28/OX40/4-1BB-CD3ζ; see U.S. Pat. Nos. 8,911,993; 8,916,381; 8,975,071; 9,101,584; 9,102,760; 9,102,761). Third-generation CARs include a combination of costimulatory endodomains, such a CD3-chain, CD97, GDI 1a-CD18, CD2, ICOS, CD27, CD154, CDS, OX40, 4-1BB, CD2, CD7, LIGHT, LFA-1, NKG2C, B7-H3, CD30, CD40, PD-1, or CD28 signaling domains (for example scFv-CD28-4-1BB-CD3ζ or scFv-CD28-OX40-CD3; see U.S. Pat. Nos. 8,906,682; 8,399,645; 5,686,281; PCT Publication No. WO2014134165; PCT Publication No. WO2012079000). Alternatively, costimulation may be orchestrated by expressing CARs in antigen-specific T cells, chosen so as to be activated and expanded following engagement of their native αβTCR, for example by antigen on professional antigen-presenting cells, with attendant costimulation. In addition, additional engineered receptors may be provided on the immunoresponsive cells, for example to improve targeting of a T-cell attack and/or minimize side effects.

Alternatively, T-cells expressing CARs may be further modified to reduce or eliminate expression of endogenous TCRs in order to reduce off-target effects. Reduction or elimination of endogenous TCRs can reduce off-target effects and increase the effectiveness of the T cells (U.S. Pat. No. 9,181,527). T cells stably lacking expression of a functional TCR may be produced using a variety of approaches. T cells internalize, sort, and degrade the entire T cell receptor as a complex, with a half-life of about 10 hours in resting T cells and 3 hours in stimulated T cells (von Essen, M. et al. 2004. J. Immunol. 173:384-393). Proper functioning of the TCR complex requires the proper stoichiometric ratio of the proteins that compose the TCR complex. TCR function also requires two functioning TCR zeta proteins with ITAM motifs. The activation of the TCR upon engagement of its MHC-peptide ligand requires the engagement of several TCRs on the same T cell, which all must signal properly. Thus, if a TCR complex is destabilized with proteins that do not associate properly or cannot signal optimally, the T cell will not become activated sufficiently to begin a cellular response.

Accordingly, in some embodiments, TCR expression may eliminated using RNA interference (e.g., shRNA, siRNA, miRNA, etc.), CRISPR, or other methods that target the nucleic acids encoding specific TCRs (e.g., TCR-α and TCR-β) and/or CD3 chains in primary T cells. By blocking expression of one or more of these proteins, the T cell will no longer produce one or more of the key components of the TCR complex, thereby destabilizing the TCR complex and preventing cell surface expression of a functional TCR.

In some instances, CAR may also comprise a switch mechanism for controlling expression and/or activation of the CAR. For example, a CAR may comprise an extracellular, transmembrane, and intracellular domain, in which the extracellular domain comprises a target-specific binding element that comprises a label, binding domain, or tag that is specific for a molecule other than the target antigen that is expressed on or by a target cell. In such embodiments, the specificity of the CAR is provided by a second construct that comprises a target antigen binding domain (e.g., an scFv or a bispecific antibody that is specific for both the target antigen and the label or tag on the CAR) and a domain that is recognized by or binds to the label, binding domain, or tag on the CAR. See, e.g., WO 2013/044225, WO 2016/000304, WO 2015/057834, WO 2015/057852, WO 2016/070061, U.S. Pat. No. 9,233,125, US 2016/0129109. In this way, a T-cell that expresses the CAR can be administered to a subject, but the CAR cannot bind its target antigen until the second composition comprising an antigen-specific binding domain is administered.

Alternative switch mechanisms include CARs that require multimerization in order to activate their signaling function (see, e.g., US 2015/0368342, US 2016/0175359, US 2015/0368360) and/or an exogenous signal, such as a small molecule drug (US 2016/0166613, Yung et al., Science, 2015), in order to elicit a T-cell response. Some CARs may also comprise a “suicide switch” to induce cell death of the CAR T-cells following treatment (Buddee et al., PLoS One, 2013) or to downregulate expression of the CAR following binding to the target antigen (WO 2016/011210).

Alternative techniques may be used to transform target immunoresponsive cells, such as protoplast fusion, lipofection, transfection or electroporation. A wide variety of vectors may be used, such as retroviral vectors, lentiviral vectors, adenoviral vectors, adeno-associated viral vectors, plasmids or transposons, such as a Sleeping Beauty transposon (see U.S. Pat. Nos. 6,489,458; 7,148,203; 7,160,682; 7,985,739; 8,227,432), may be used to introduce CARs, for example using 2nd generation antigen-specific CARs signaling through CD3ζ and either CD28 or CD137. Viral vectors may for example include vectors based on HIV, SV40, EBV, HSV or BPV.

Cells that are targeted for transformation may for example include T cells, Natural Killer (NK) cells, cytotoxic T lymphocytes (CTL), regulatory T cells, human embryonic stem cells, tumor-infiltrating lymphocytes (TIL) or a pluripotent stem cell from which lymphoid cells may be differentiated. T cells expressing a desired CAR may for example be selected through co-culture with γ-irradiated activating and propagating cells (AaPC), which co-express the cancer antigen and co-stimulatory molecules. The engineered CAR T-cells may be expanded, for example by co-culture on AaPC in presence of soluble factors, such as IL-2 and IL-21. This expansion may for example be carried out so as to provide memory CAR+ T cells (which may for example be assayed by non-enzymatic digital array and/or multi-panel flow cytometry). In this way, CAR T cells may be provided that have specific cytotoxic activity against antigen-bearing tumors (optionally in conjunction with production of desired chemokines such as interferon-γ). CAR T cells of this kind may for example be used in animal models, for example to treat tumor xenografts.

Approaches such as the foregoing may be adapted to provide methods of treating and/or increasing survival of a subject having a disease, such as a neoplasia, for example by administering an effective amount of an immunoresponsive cell comprising an antigen recognizing receptor that binds a selected antigen, wherein the binding activates the immunoreponsive cell, thereby treating or preventing the disease (such as a neoplasia, a pathogen infection, an autoimmune disorder, or an allogeneic transplant reaction).

Additionally, the disclosed biomarker signature (e.g., the genes displayed in Tables 5-13 or a selection of genes therefrom) may be used to identify CART cells or other cells used in ACT that are dysfunctional or exhausted. Using the disclosed biomarkers as a diagnostic platform allows clinicians to identify whether a patient's response to the ACT is due to cell dysfunction, and if it is, the levels of up-regulation and down-regulation across the biomarker signature will allow problems to be addressed. For example, if a patient receiving ACT is non-responsive, the cells administered as part of the ACT may be assayed by an assay disclosed herein to determine the relative level of expression of a disclosed biomarker signature (e.g., Tables 5-13 or a selection of genes therefrom). If a particular inhibitory receptor or molecule is up-regulated in the ACT cells, the patient may be treated with an inhibitor of that receptor or molecule. If a particular stimulatory receptor or molecule is down-regulated in the ACT cells, the patient may be treated with an agonist of that receptor or molecule.

In one embodiment, the treatment can be administrated into patients undergoing an immunosuppressive treatment. The cells or population of cells, may be made resistant to at least one immunosuppressive agent due to the inactivation of a gene encoding a receptor for such immunosuppressive agent. Not being bound by a theory, the immunosuppressive treatment should help the selection and expansion of the immunoresponsive or T cells according to the invention within the patient.

The administration of the cells or population of cells according to the present invention may be carried out in any convenient manner, including by aerosol inhalation, injection, ingestion, transfusion, implantation or transplantation. The cells or population of cells may be administered to a patient subcutaneously, intradermally, intratumorally, intranodally, intramedullary, intramuscularly, intrathecally, by intravenous or intralymphatic injection, or intraperitoneally. In some embodiments, the disclosed CARs may be delivered or administered into a cavity formed by the resection of tumor tissue (i.e. intracavity delivery) or directly into a tumor prior to resection (i.e. intratumoral delivery). In one embodiment, the cell compositions of the present invention are preferably administered by intravenous injection.

The administration of the cells or population of cells can consist of the administration of 10⁴-10⁹ cells per kg body weight, preferably 10⁵ to 10⁶ cells/kg body weight including all integer values of cell numbers within those ranges. Dosing in CAR T cell therapies may for example involve administration of from 10⁶ to 10⁹ cells/kg, with or without a course of lymphodepletion, for example with cyclophosphamide. The cells or population of cells can be administrated in one or more doses. In another embodiment, the effective amount of cells are administrated as a single dose. In another embodiment, the effective amount of cells are administrated as more than one dose over a period time. Timing of administration is within the judgment of managing physician and depends on the clinical condition of the patient. The cells or population of cells may be obtained from any source, such as a blood bank or a donor. While individual needs vary, determination of optimal ranges of effective amounts of a given cell type for a particular disease or conditions are within the skill of one in the art. An effective amount means an amount which provides a therapeutic or prophylactic benefit. The dosage administrated will be dependent upon the age, health and weight of the recipient, kind of concurrent treatment, if any, frequency of treatment and the nature of the effect desired.

In another embodiment, the effective amount of cells or composition comprising those cells are administrated parenterally. The administration can be an intravenous administration. The administration can be directly done by injection within a tumor.

To guard against possible adverse reactions, engineered immunoresponsive cells may be equipped with a transgenic safety switch, in the form of a transgene that renders the cells vulnerable to exposure to a specific signal. For example, the herpes simplex viral thymidine kinase (TK) gene may be used in this way, for example by introduction into allogeneic T lymphocytes used as donor lymphocyte infusions following stem cell transplantation (Greco, et al., Improving the safety of cell therapy with the TK-suicide gene. Front. Pharmacol. 2015; 6: 95). In such cells, administration of a nucleoside prodrug such as ganciclovir or acyclovir causes cell death. Alternative safety switch constructs include inducible caspase 9, for example triggered by administration of a small-molecule dimerizer that brings together two nonfunctional icasp9 molecules to form the active enzyme. A wide variety of alternative approaches to implementing cellular proliferation controls have been described (see U.S. Patent Publication No. 20130071414; PCT Patent Publication WO2011146862; PCT Patent Publication WO2014011987; PCT Patent Publication WO2013040371; Zhou et al. BLOOD, 2014, 123/25:3895-3905; Di Stasi et al., The New England Journal of Medicine 2011; 365:1673-1683; Sadelain M, The New England Journal of Medicine 2011; 365:1735-173; Ramos et al., Stem Cells 28(6):1107-15 (2010)).

In a further refinement of adoptive therapies, genome editing may be used to tailor immunoresponsive cells to alternative implementations, for example providing edited CAR T cells (see Poirot et al., 2015, Multiplex genome edited T-cell manufacturing platform for “off-the-shelf” adoptive T-cell immunotherapies, Cancer Res 75 (18): 3853). Cells may be edited using any CRISPR system and method of use thereof as described herein. CRISPR systems may be delivered to an immune cell by any method described herein. In preferred embodiments, cells are edited ex vivo and transferred to a subject in need thereof. Immunoresponsive cells, CAR T cells or any cells used for adoptive cell transfer may be edited. Editing may be performed to eliminate potential alloreactive T-cell receptors (TCR), disrupt the target of a chemotherapeutic agent, block an immune checkpoint, activate a T cell, and/or increase the differentiation and/or proliferation of functionally exhausted or dysfunctional CD8+ T-cells (see PCT Patent Publications: WO2013176915, WO2014059173, WO2014172606, WO2014184744, and WO2014191128). Editing may result in inactivation of a gene.

By inactivating a gene it is intended that the gene of interest is not expressed in a functional protein form. In a particular embodiment, the CRISPR system specifically catalyzes cleavage in one targeted gene thereby inactivating said targeted gene. The nucleic acid strand breaks caused are commonly repaired through the distinct mechanisms of homologous recombination or non-homologous end joining (NHEJ). However, NHEJ is an imperfect repair process that often results in changes to the DNA sequence at the site of the cleavage. Repair via non-homologous end joining (NHEJ) often results in small insertions or deletions (Indel) and can be used for the creation of specific gene knockouts. Cells in which a cleavage induced mutagenesis event has occurred can be identified and/or selected by well-known methods in the art.

T cell receptors (TCR) are cell surface receptors that participate in the activation of T cells in response to the presentation of antigen. The TCR is generally made from two chains, α and β, which assemble to form a heterodimer and associates with the CD3-transducing subunits to form the T cell receptor complex present on the cell surface. Each α and β chain of the TCR consists of an immunoglobulin-like N-terminal variable (V) and constant (C) region, a hydrophobic transmembrane domain, and a short cytoplasmic region. As for immunoglobulin molecules, the variable region of the α and β chains are generated by V(D)J recombination, creating a large diversity of antigen specificities within the population of T cells. However, in contrast to immunoglobulins that recognize intact antigen, T cells are activated by processed peptide fragments in association with an MHC molecule, introducing an extra dimension to antigen recognition by T cells, known as MHC restriction. Recognition of MHC disparities between the donor and recipient through the T cell receptor leads to T cell proliferation and the potential development of graft versus host disease (GVHD). The inactivation of TCRα or TCRβ can result in the elimination of the TCR from the surface of T cells preventing recognition of alloantigen and thus GVHD. However, TCR disruption generally results in the elimination of the CD3 signaling component and alters the means of further T cell expansion.

Allogeneic cells are rapidly rejected by the host immune system. It has been demonstrated that, allogeneic leukocytes present in non-irradiated blood products will persist for no more than 5 to 6 days (Boni, Muranski et al. 2008 Blood 1; 112(12):4746-54). Thus, to prevent rejection of allogeneic cells, the host's immune system usually has to be suppressed to some extent. However, in the case of adoptive cell transfer the use of immunosuppressive drugs also have a detrimental effect on the introduced therapeutic T cells. Therefore, to effectively use an adoptive immunotherapy approach in these conditions, the introduced cells would need to be resistant to the immunosuppressive treatment. Thus, in a particular embodiment, the present invention further comprises a step of modifying T cells to make them resistant to an immunosuppressive agent, preferably by inactivating at least one gene encoding a target for an immunosuppressive agent. An immunosuppressive agent is an agent that suppresses immune function by one of several mechanisms of action. An immunosuppressive agent can be, but is not limited to a calcineurin inhibitor, a target of rapamycin, an interleukin-2 receptor α-chain blocker, an inhibitor of inosine monophosphate dehydrogenase, an inhibitor of dihydrofolic acid reductase, a corticosteroid or an immunosuppressive antimetabolite. The present invention allows conferring immunosuppressive resistance to T cells for immunotherapy by inactivating the target of the immunosuppressive agent in T cells. As non-limiting examples, targets for an immunosuppressive agent can be a receptor for an immunosuppressive agent such as: CD52, glucocorticoid receptor (GR), a FKBP family gene member and a cyclophilin family gene member.

Immune checkpoints are inhibitory pathways that slow down or stop immune reactions and prevent excessive tissue damage from uncontrolled activity of immune cells. In certain embodiments, the immune checkpoint targeted is the programmed death-1 (PD-1 or CD279) gene (PDCD1). In other embodiments, the immune checkpoint targeted is cytotoxic T-lymphocyte-associated antigen (CTLA-4). In additional embodiments, the immune checkpoint targeted is another member of the CD28 and CTLA4 Ig superfamily such as BTLA, LAG3, ICOS, PDL1 or KIR. In further additional embodiments, the immune checkpoint targeted is a member of the TNFR superfamily such as CD40, OX40, CD137, GITR, CD27 or TIM-3.

Additional immune checkpoints include Src homology 2 domain-containing protein tyrosine phosphatase 1 (SHP-1) (Watson H A, et al., SHP-1: the next checkpoint target for cancer immunotherapy? Biochem Soc Trans. 2016 Apr. 15; 44(2):356-62). SHP-1 is a widely expressed inhibitory protein tyrosine phosphatase (PTP). In T-cells, it is a negative regulator of antigen-dependent activation and proliferation. It is a cytosolic protein, and therefore not amenable to antibody-mediated therapies, but its role in activation and proliferation makes it an attractive target for genetic manipulation in adoptive transfer strategies, such as chimeric antigen receptor (CAR) T cells. Immune checkpoints may also include T cell immunoreceptor with Ig and ITIM domains (TIGIT/Vstm3/WUCAM/VSIG9) and VISTA (Le Mercier I, et al., (2015) Beyond CTLA-4 and PD-1, the generation Z of negative checkpoint regulators. Front. Immunol. 6:418).

WO2014172606 relates to the use of MT1 and/or MT1 inhibitors to increase proliferation and/or activity of exhausted CD8+ T-cells and to decrease CD8+ T-cell exhaustion (e.g., decrease functionally exhausted or unresponsive CD8+ immune cells). In certain embodiments, metallothioneins are targeted by gene editing in adoptively transferred T cells.

In certain embodiments, targets of gene editing may be at least one targeted locus involved in the expression of an immune checkpoint protein. Such targets may include, but are not limited to CTLA4, PPP2CA, PPP2CB, PTPN6, PTPN22, PDCD1, ICOS (CD278), PDL1, KIR, LAG3, HAVCR2, BTLA, CD160, TIGIT, CD96, CRTAM, LAIR1, SIGLEC7, SIGLEC9, CD244 (2B4), TNFRSF10B, TNFRSF10A, CASP8, CASP10, CASP3, CASP6, CASP7, FADD, FAS, TGFBRII, TGFRBRI, SMAD2, SMAD3, SMAD4, SMAD10, SKI, SKIL, TGIF1, IL10RA, IL10RB, HMOX2, IL6R, IL6ST, EIF2AK4, CSK, PAG1, SIT1, FOXP3, PRDM1, BATF, VISTA, GUCY1A2, GUCY1A3, GUCY1B2, GUCY1B3, MT1, MT2, CD40, OX40, CD137, GITR, CD27, SHP-1 or TIM-3. In preferred embodiments, the gene locus involved in the expression of PD-1 or CTLA-4 genes is targeted. In other preferred embodiments, combinations of genes are targeted, such as but not limited to PD-1 and TIGIT. In preferred embodiments, the novel genes or gene combinations described herein are targeted or modulated.

In other embodiments, at least two genes are edited. Pairs of genes may include, but are not limited to PD1 and TCRa, PD1 and TCRβ, CTLA-4 and TCRα, CTLA-4 and TCRβ, LAG3 and TCRα, LAG3 and TCRβ, Tim3 and TCRα, Tim3 and TCRβ, BTLA and TCRα, BTLA and TCRβ, BY55 and TCRα, BY55 and TCRβ, TIGIT and TCRα, TIGIT and TCRβ, B7H5 and TCRα, B7H5 and TCRβ, LAIR1 and TCRα, LAIR1 and TCRβ, SIGLEC10 and TCRα, SIGLEC10 and TCRβ, 2B4 and TCRα, 2B4 and TCRβ.

Whether prior to or after genetic modification of the T cells, the T cells can be activated and expanded generally using methods as described, for example, in U.S. Pat. Nos. 6,352,694; 6,534,055; 6,905,680; 5,858,358; 6,887,466; 6,905,681; 7,144,575; 7,232,566; 7,175,843; 5,883,223; 6,905,874; 6,797,514; 6,867,041; and 7,572,631. T cells can be expanded in vitro or in vivo.

Immune cells may be obtained using any method known in the art. In one embodiment T cells that have infiltrated a tumor are isolated. T cells may be removed during surgery. T cells may be isolated after removal of tumor tissue by biopsy. T cells may be isolated by any means known in the art. In one embodiment the method may comprise obtaining a bulk population of T cells from a tumor sample by any suitable method known in the art. For example, a bulk population of T cells can be obtained from a tumor sample by dissociating the tumor sample into a cell suspension from which specific cell populations can be selected. Suitable methods of obtaining a bulk population of T cells may include, but are not limited to, any one or more of mechanically dissociating (e.g., mincing) the tumor, enzymatically dissociating (e.g., digesting) the tumor, and aspiration (e.g., as with a needle).

The bulk population of T cells obtained from a tumor sample may comprise any suitable type of T cell. Preferably, the bulk population of T cells obtained from a tumor sample comprises tumor infiltrating lymphocytes (TILs).

The tumor sample may be obtained from any mammal. Unless stated otherwise, as used herein, the term “mammal” refers to any mammal including, but not limited to, mammals of the order Logomorpha, such as rabbits; the order Carnivora, including Felines (cats) and Canines (dogs); the order Artiodactyla, including Bovines (cows) and Swines (pigs); or of the order Perssodactyla, including Equines (horses). The mammals may be non-human primates, e.g., of the order Primates, Ceboids, or Simoids (monkeys) or of the order Anthropoids (humans and apes). In some embodiments, the mammal may be a mammal of the order Rodentia, such as mice and hamsters. Preferably, the mammal is a non-human primate or a human. An especially preferred mammal is the human.

T cells can be obtained from a number of sources, including peripheral blood mononuclear cells, bone marrow, lymph node tissue, spleen tissue, and tumors. In certain embodiments of the present invention, T cells can be obtained from a unit of blood collected from a subject using any number of techniques known to the skilled artisan, such as Ficoll separation. In one preferred embodiment, cells from the circulating blood of an individual are obtained by apheresis or leukapheresis. The apheresis product typically contains lymphocytes, including T cells, monocytes, granulocytes, B cells, other nucleated white blood cells, red blood cells, and platelets. In one embodiment, the cells collected by apheresis may be washed to remove the plasma fraction and to place the cells in an appropriate buffer or media for subsequent processing steps. In one embodiment of the invention, the cells are washed with phosphate buffered saline (PBS). In an alternative embodiment, the wash solution lacks calcium and may lack magnesium or may lack many if not all divalent cations. Initial activation steps in the absence of calcium lead to magnified activation. As those of ordinary skill in the art would readily appreciate a washing step may be accomplished by methods known to those in the art, such as by using a semi-automated “flow-through” centrifuge (for example, the Cobe 2991 cell processor) according to the manufacturer's instructions. After washing, the cells may be resuspended in a variety of biocompatible buffers, such as, for example, Ca-free, Mg-free PBS. Alternatively, the undesirable components of the apheresis sample may be removed and the cells directly resuspended in culture media.

In another embodiment, T cells are isolated from peripheral blood lymphocytes by lysing the red blood cells and depleting the monocytes, for example, by centrifugation through a PERCOLL™ gradient. A specific subpopulation of T cells, such as CD28+, CD4+, CDC, CD45RA+, and CD45RO+ T cells, can be further isolated by positive or negative selection techniques. For example, in one preferred embodiment, T cells are isolated by incubation with anti-CD3/anti-CD28 (i.e., 3×28)-conjugated beads, such as DYNABEADS® M-450 CD3/CD28 T, or XCYTE DYNABEADS™ for a time period sufficient for positive selection of the desired T cells. In one embodiment, the time period is about 30 minutes. In a further embodiment, the time period ranges from 30 minutes to 36 hours or longer and all integer values there between. In a further embodiment, the time period is at least 1, 2, 3, 4, 5, or 6 hours. In yet another preferred embodiment, the time period is 10 to 24 hours. In one preferred embodiment, the incubation time period is 24 hours. For isolation of T cells from patients with leukemia, use of longer incubation times, such as 24 hours, can increase cell yield. Longer incubation times may be used to isolate T cells in any situation where there are few T cells as compared to other cell types, such in isolating tumor infiltrating lymphocytes (TIL) from tumor tissue or from immunocompromised individuals. Further, use of longer incubation times can increase the efficiency of capture of CD8+ T cells.

Enrichment of a T cell population by negative selection can be accomplished with a combination of antibodies directed to surface markers unique to the negatively selected cells. A preferred method is cell sorting and/or selection via negative magnetic immunoadherence or flow cytometry that uses a cocktail of monoclonal antibodies directed to cell surface markers present on the cells negatively selected. For example, to enrich for CD4+ cells by negative selection, a monoclonal antibody cocktail typically includes antibodies to CD14, CD20, CD11b, CD16, HLA-DR, and CD8.

Further, monocyte populations (i.e., CD14+ cells) may be depleted from blood preparations by a variety of methodologies, including anti-CD14 coated beads or columns, or utilization of the phagocytotic activity of these cells to facilitate removal. Accordingly, in one embodiment, the invention uses paramagnetic particles of a size sufficient to be engulfed by phagocytotic monocytes. In certain embodiments, the paramagnetic particles are commercially available beads, for example, those produced by Life Technologies under the trade name Dynabeads™. In one embodiment, other non-specific cells are removed by coating the paramagnetic particles with “irrelevant” proteins (e.g., serum proteins or antibodies). Irrelevant proteins and antibodies include those proteins and antibodies or fragments thereof that do not specifically target the T cells to be isolated. In certain embodiments the irrelevant beads include beads coated with sheep anti-mouse antibodies, goat anti-mouse antibodies, and human serum albumin.

In brief, such depletion of monocytes is performed by preincubating T cells isolated from whole blood, apheresed peripheral blood, or tumors with one or more varieties of irrelevant or non-antibody coupled paramagnetic particles at any amount that allows for removal of monocytes (approximately a 20:1 bead:cell ratio) for about 30 minutes to 2 hours at 22 to 37 degrees C., followed by magnetic removal of cells which have attached to or engulfed the paramagnetic particles. Such separation can be performed using standard methods available in the art. For example, any magnetic separation methodology may be used including a variety of which are commercially available, (e.g., DYNAL® Magnetic Particle Concentrator (DYNAL MPC®)). Assurance of requisite depletion can be monitored by a variety of methodologies known to those of ordinary skill in the art, including flow cytometric analysis of CD14 positive cells, before and after depletion.

For isolation of a desired population of cells by positive or negative selection, the concentration of cells and surface (e.g., particles such as beads) can be varied. In certain embodiments, it may be desirable to significantly decrease the volume in which beads and cells are mixed together (i.e., increase the concentration of cells), to ensure maximum contact of cells and beads. For example, in one embodiment, a concentration of 2 billion cells/ml is used. In one embodiment, a concentration of 1 billion cells/ml is used. In a further embodiment, greater than 100 million cells/ml is used. In a further embodiment, a concentration of cells of 10, 15, 20, 25, 30, 35, 40, 45, or 50 million cells/ml is used. In yet another embodiment, a concentration of cells from 75, 80, 85, 90, 95, or 100 million cells/ml is used. In further embodiments, concentrations of 125 or 150 million cells/ml can be used. Using high concentrations can result in increased cell yield, cell activation, and cell expansion. Further, use of high cell concentrations allows more efficient capture of cells that may weakly express target antigens of interest, such as CD28-negative T cells, or from samples where there are many tumor cells present (i.e., leukemic blood, tumor tissue, etc). Such populations of cells may have therapeutic value and would be desirable to obtain. For example, using high concentration of cells allows more efficient selection of CD8+ T cells that normally have weaker CD28 expression.

In a related embodiment, it may be desirable to use lower concentrations of cells. By significantly diluting the mixture of T cells and surface (e.g., particles such as beads), interactions between the particles and cells is minimized. This selects for cells that express high amounts of desired antigens to be bound to the particles. For example, CD4+ T cells express higher levels of CD28 and are more efficiently captured than CD8+ T cells in dilute concentrations. In one embodiment, the concentration of cells used is 5×10⁶/ml. In other embodiments, the concentration used can be from about 1×10⁵/ml to 1×10⁶/ml, and any integer value in between.

T cells can also be frozen. Wishing not to be bound by theory, the freeze and subsequent thaw step provides a more uniform product by removing granulocytes and to some extent monocytes in the cell population. After a washing step to remove plasma and platelets, the cells may be suspended in a freezing solution. While many freezing solutions and parameters are known in the art and will be useful in this context, one method involves using PBS containing 20% DMSO and 8% human serum albumin, or other suitable cell freezing media, the cells then are frozen to −80° C. at a rate of 1° per minute and stored in the vapor phase of a liquid nitrogen storage tank. Other methods of controlled freezing may be used as well as uncontrolled freezing immediately at −20° C. or in liquid nitrogen.

T cells for use in the present invention may also be antigen-specific T cells. For example, tumor-specific T cells can be used. In certain embodiments, antigen-specific T cells can be isolated from a patient of interest, such as a patient afflicted with a cancer or an infectious disease. In one embodiment neoepitopes are determined for a subject and T cells specific to these antigens are isolated. Antigen-specific cells for use in expansion may also be generated in vitro using any number of methods known in the art, for example, as described in U.S. Patent Publication No. US 20040224402 entitled, Generation And Isolation of Antigen-Specific T Cells, or in U.S. Pat. No. 6,040,177. Antigen-specific cells for use in the present invention may also be generated using any number of methods known in the art, for example, as described in Current Protocols in Immunology, or Current Protocols in Cell Biology, both published by John Wiley & Sons, Inc., Boston, Mass.

In a related embodiment, it may be desirable to sort or otherwise positively select (e.g. via magnetic selection) the antigen specific cells prior to or following one or two rounds of expansion. Sorting or positively selecting antigen-specific cells can be carried out using peptide-MHC tetramers (Altman, et al., Science. 1996 Oct. 4; 274(5284):94-6). In another embodiment the adaptable tetramer technology approach is used (Andersen et al., 2012 Nat Protoc. 7:891-902). Tetramers are limited by the need to utilize predicted binding peptides based on prior hypotheses, and the restriction to specific HLAs. Peptide-MHC tetramers can be generated using techniques known in the art and can be made with any MEW molecule of interest and any antigen of interest as described herein. Specific epitopes to be used in this context can be identified using numerous assays known in the art. For example, the ability of a polypeptide to bind to MEW class I may be evaluated indirectly by monitoring the ability to promote incorporation of ¹²⁵I labeled β2-microglobulin (β2m) into MHC class I/β2m/peptide heterotrimeric complexes (see Parker et al., J. Immunol. 152:163, 1994).

In one embodiment cells are directly labeled with an epitope-specific reagent for isolation by flow cytometry followed by characterization of phenotype and TCRs. In one T cells are isolated by contacting the T cell specific antibodies. Sorting of antigen-specific T cells, or generally any cells of the present invention, can be carried out using any of a variety of commercially available cell sorters, including, but not limited to, MoFlo sorter (DakoCytomation, Fort Collins, Colo.), FACSAria™, FACSArray™, FACSVantage™ BD™ LSR II, and FACSCalibur™ (BD Biosciences, San Jose, Calif.).

In a preferred embodiment, the method comprises selecting cells that also express CD3. The method may comprise specifically selecting the cells in any suitable manner. Preferably, the selecting is carried out using flow cytometry. The flow cytometry may be carried out using any suitable method known in the art. The flow cytometry may employ any suitable antibodies and stains. Preferably, the antibody is chosen such that it specifically recognizes and binds to the particular biomarker being selected. For example, the specific selection of CD3, CD8, TIM-3, LAG-3, 4-1BB, or PD-1 may be carried out using anti-CD3, anti-CD8, anti-TIM-3, anti-LAG-3, anti-4-1BB, or anti-PD-1 antibodies, respectively. The antibody or antibodies may be conjugated to a bead (e.g., a magnetic bead) or to a fluorochrome. Preferably, the flow cytometry is fluorescence-activated cell sorting (FACS). TCRs expressed on T cells can be selected based on reactivity to autologous tumors. Additionally, T cells that are reactive to tumors can be selected for based on markers using the methods described in patent publication Nos. WO2014133567 and WO2014133568, herein incorporated by reference in their entirety. Additionally, activated T cells can be selected for based on surface expression of CD107a.

In one embodiment of the invention, the method further comprises expanding the numbers of T cells in the enriched cell population. Such methods are described in U.S. Pat. No. 8,637,307 and is herein incorporated by reference in its entirety. The numbers of T cells may be increased at least about 3-fold (or 4-, 5-, 6-, 7-, 8-, or 9-fold), more preferably at least about 10-fold (or 20-, 30-, 40-, 50-, 60-, 70-, 80-, or 90-fold), more preferably at least about 100-fold, more preferably at least about 1,000 fold, or most preferably at least about 100,000-fold. The numbers of T cells may be expanded using any suitable method known in the art. Exemplary methods of expanding the numbers of cells are described in patent publication No. WO 2003057171, U.S. Pat. No. 8,034,334, and U.S. Patent Application Publication No. 2012/0244133, each of which is incorporated herein by reference.

In one embodiment, ex vivo T cell expansion can be performed by isolation of T cells and subsequent stimulation or activation followed by further expansion. In one embodiment of the invention, the T cells may be stimulated or activated by a single agent. In another embodiment, T cells are stimulated or activated with two agents, one that induces a primary signal and a second that is a co-stimulatory signal. Ligands useful for stimulating a single signal or stimulating a primary signal and an accessory molecule that stimulates a second signal may be used in soluble form. Ligands may be attached to the surface of a cell, to an Engineered Multivalent Signaling Platform (EMSP), or immobilized on a surface. In a preferred embodiment both primary and secondary agents are co-immobilized on a surface, for example a bead or a cell. In one embodiment, the molecule providing the primary activation signal may be a CD3 ligand, and the co-stimulatory molecule may be a CD28 ligand or 4-1BB ligand.

Treatment of Chronic Immune Conditions

A “cancer” or “tumor” as used herein refers to an uncontrolled growth of cells which interferes with the normal functioning of the bodily organs and systems. A subject that has a cancer or a tumor is a subject having objectively measurable cancer cells present in the subject's body. Included in this definition are benign and malignant cancers, as well as dormant tumors or micrometastases. Cancers which migrate from their original location and seed vital organs can eventually lead to the death of the subject through the functional deterioration of the affected organs. Hemopoietic cancers, such as leukemia, are able to out-compete the normal hemopoietic compartments in a subject, thereby leading to hemopoietic failure (in the form of anemia, thrombocytopenia and neutropenia) ultimately causing death.

By “metastasis” is meant the spread of cancer from its primary site to other places in the body. Cancer cells can break away from a primary tumor, penetrate into lymphatic and blood vessels, circulate through the bloodstream, and grow in a distant focus (metastasize) in normal tissues elsewhere in the body. Metastasis can be local or distant. Metastasis is a sequential process, contingent on tumor cells breaking off from the primary tumor, traveling through the bloodstream, and stopping at a distant site. At the new site, the cells establish a blood supply and can grow to form a life-threatening mass. Both stimulatory and inhibitory molecular pathways within the tumor cell regulate this behavior, and interactions between the tumor cell and host cells in the distant site are also significant.

Metastases are most often detected through the sole or combined use of magnetic resonance imaging (MRI) scans, computed tomography (CT) scans, blood and platelet counts, liver function studies, chest X-rays and bone scans in addition to the monitoring of specific symptoms.

Examples of cancer include but are not limited to, carcinoma, lymphoma, blastoma, sarcoma, and leukemia. More particular examples of such cancers include, but are not limited to, basal cell carcinoma, biliary tract cancer; bladder cancer; bone cancer; brain and CNS cancer; breast cancer; cancer of the peritoneum; cervical cancer; choriocarcinoma; colon and rectum cancer; connective tissue cancer; cancer of the digestive system; endometrial cancer; esophageal cancer; eye cancer; cancer of the head and neck; gastric cancer (including gastrointestinal cancer); glioblastoma; hepatic carcinoma; hepatoma; intra-epithelial neoplasm; kidney or renal cancer; larynx cancer; leukemia; liver cancer; lung cancer (e.g., small-cell lung cancer, non-small cell lung cancer, adenocarcinoma of the lung, and squamous carcinoma of the lung); lymphoma including Hodgkin's and non-Hodgkin's lymphoma; melanoma; myeloma; neuroblastoma; oral cavity cancer (e.g., lip, tongue, mouth, and pharynx); ovarian cancer; pancreatic cancer; prostate cancer; retinoblastoma; rhabdomyosarcoma; rectal cancer; cancer of the respiratory system; salivary gland carcinoma; sarcoma; skin cancer; squamous cell cancer; stomach cancer; testicular cancer; thyroid cancer; uterine or endometrial cancer; cancer of the urinary system; vulval cancer; as well as other carcinomas and sarcomas; as well as B-cell lymphoma (including low grade/follicular non-Hodgkin's lymphoma (NHL); small lymphocytic (SL) NHL; intermediate grade/follicular NHL; intermediate grade diffuse NHL; high grade immunoblastic NHL; high grade lymphoblastic NHL; high grade small non-cleaved cell NHL; bulky disease NHL; mantle cell lymphoma; AIDS-related lymphoma; and Waldenstrom's Macroglobulinemia); chronic lymphocytic leukemia (CLL); acute lymphoblastic leukemia (ALL); Hairy cell leukemia; chronic myeloblastic leukemia; and post-transplant lymphoproliferative disorder (PTLD), as well as abnormal vascular proliferation associated with phakomatoses, edema (such as that associated with brain tumors), and Meigs' syndrome.

In some embodiments of these methods and all such methods described herein, the methods further comprise administering a tumor or cancer antigen to a subject being administered the one or more agents described herein.

A number of tumor antigens have been identified that are associated with specific cancers. As used herein, the terms “tumor antigen” and “cancer antigen” are used interchangeably to refer to antigens which are differentially expressed by cancer cells and can thereby be exploited in order to target cancer cells. Cancer antigens are antigens which can potentially stimulate apparently tumor-specific immune responses. Some of these antigens are encoded, although not necessarily expressed, by normal cells. These antigens can be characterized as those which are normally silent (i.e., not expressed) in normal cells, those that are expressed only at certain stages of differentiation and those that are temporally expressed such as embryonic and fetal antigens. Other cancer antigens are encoded by mutant cellular genes, such as oncogenes (e.g., activated ras oncogene), suppressor genes (e.g., mutant p53), and fusion proteins resulting from internal deletions or chromosomal translocations. Still other cancer antigens can be encoded by viral genes such as those carried on RNA and DNA tumor viruses. Many tumor antigens have been defined in terms of multiple solid tumors: MAGE 1, 2, & 3, defined by immunity; MART-1/Melan-A, gp100, carcinoembryonic antigen (CEA), HER-2, mucins (i.e., MUC-1), prostate-specific antigen (PSA), and prostatic acid phosphatase (PAP). In addition, viral proteins such as hepatitis B (HBV), Epstein-Barr (EBV), and human papilloma (HPV) have been shown to be important in the development of hepatocellular carcinoma, lymphoma, and cervical cancer, respectively. However, due to the immunosuppression of patients diagnosed with cancer (including T cell exhaustion), the immune systems of these patients often fail to respond to the tumor antigens.

Additionally, neoantigens have been described that are subject specific. Neoantigens specific for a subject result from abundant intra-tumor and inter-tumor heterogeneity. In one instance, Ott et al., (Hematol. Oncol. Clin. N. Am. 28 (2014) 559-569) discusses the advantages of neoantigens in the context of melanoma. Ott et al., discusses the “NeoVax” approach and shows how tumor neoantigens provide optimal immunogenicity and tumor specificity compared to native antigens such as overexpressed or selectively expressed antigens commonly used in cancer vaccines (see, e.g., FIG. 2 on page 565). Van Rooij et al. (Journal of Clinical Oncology 31(32):e439-e442) shows the critical role of neoantigens in antitumor immune responses. Gubin et al. (2014) (Nature 515:577-581), identified tumor-specific mutant antigens (i.e. neoantigens) by sequencing and found that peptide vaccines incorporating these mutant epitopes induced tumor rejection comparably to checkpoint inhibitor therapies (e.g. targeting CTLA-4 or PD-1). Rajasagi et al. (2014), (Blood 124(3):453-62) used whole-exome sequencing to identify neoantigenic peptides in patients with chronic lymphocytic leukemia. Significantly, CLL patients showing long-term remission had long-lived cytotoxic T cell responses against neoantigenic mutations. Rizvi et al. (2014) (Science Express 10.1126/science.aaa1348) discloses that in non-small cell lung cancer, whole exome sequencing revealed that a higher neoantigen burden correlated with progression-free survival and efficacy of anti-PD-1 therapy. Neoantigen-specific T cell responses also paralleled tumor regression.

In some embodiments of these methods and all such methods described herein, the methods further comprise administering one or more anti-cancer therapies or agents to a subject in addition to the one or more agents described herein.

The term “anti-cancer therapy” refers to a therapy useful in treating cancer. Examples of anti-cancer therapeutic agents include, but are not limited to, e.g., surgery, chemotherapeutic agents, growth inhibitory agents, cytotoxic agents, agents used in radiation therapy, anti-angiogenesis agents, apoptotic agents, anti-tubulin agents, and other agents to treat cancer, such as anti-HER-2 antibodies (e.g., HERCEPTIN®), anti-CD20 antibodies, an epidermal growth factor receptor (EGFR) antagonist (e.g., a tyrosine kinase inhibitor), HER1/EGFR inhibitor (e.g., erlotinib (TARCEVA®)), platelet derived growth factor inhibitors (e.g., GLEEVEC™ (Imatinib Mesylate)), a COX-2 inhibitor (e.g., celecoxib), interferons, cytokines, antagonists (e.g., neutralizing antibodies) that bind to one or more of the following targets ErbB2, ErbB3, ErbB4, PDGFR-beta, BlyS, APRIL, BCMA or VEGF receptor(s), TRAIL/Apo2, and other bioactive and organic chemical agents, etc. Combinations thereof are also specifically contemplated for the methods described herein.

The term “cytotoxic agent” as used herein refers to a substance that inhibits or prevents the function of cells and/or causes destruction of cells. The term is intended to include radioactive isotopes (e.g. At²¹¹, I¹³¹, I¹²⁵, Y⁹⁰, Re¹⁸⁶, Re¹⁸⁸, Sm¹⁵³, Bi²¹², P³² and radioactive isotopes of Lu), chemotherapeutic agents, and toxins such as small molecule toxins or enzymatically active toxins of bacterial, fungal, plant or animal origin, including active fragments and/or variants thereof.

In some embodiments of these methods and all such methods described herein, the methods further comprise administering a chemotherapeutic agent to the subject being administered the one or more agents or combination thereof described herein.

Non-limiting examples of chemotherapeutic agents can include alkylating agents such as thiotepa and CYTOXAN® cyclosphosphamide; alkyl sulfonates such as busulfan, improsulfan and piposulfan; aziridines such as benzodopa, carboquone, meturedopa, and uredopa; ethylenimines and methylamelamines including altretamine, triethylenemelamine, trietylenephosphoramide, triethiylenethiophosphoramide and trimethylolomelamine; acetogenins (especially bullatacin and bullatacinone); a camptothecin (including the synthetic analogue topotecan); bryostatin; callystatin; CC-1065 (including its adozelesin, carzelesin and bizelesin synthetic analogues); cryptophycins (particularly cryptophycin 1 and cryptophycin 8); dolastatin; duocarmycin (including the synthetic analogues, KW-2189 and CB1-TM1); eleutherobin; pancratistatin; a sarcodictyin; spongistatin; nitrogen mustards such as chlorambucil, chlornaphazine, cholophosphamide, estramustine, ifosfamide, mechlorethamine, mechlorethamine oxide hydrochloride, melphalan, novembichin, phenesterine, prednimustine, trofosfamide, uracil mustard; nitrosureas such as carmustine, chlorozotocin, fotemustine, lomustine, nimustine, and ranimnustine; antibiotics such as the enediyne antibiotics (e.g., calicheamicin, especially calicheamicin gammall and calicheamicin omegall (see, e.g., Agnew, Chem. Intl. Ed. Engl., 33: 183-186 (1994)); dynemicin, including dynemicin A; bisphosphonates, such as clodronate; an esperamicin; as well as neocarzinostatin chromophore and related chromoprotein enediyne antibiotic chromophores), aclacinomysins, actinomycin, authramycin, azaserine, bleomycins, cactinomycin, carabicin, caminomycin, carzinophilin, chromomycinis, dactinomycin, daunorubicin, detorubicin, 6-diazo-5-oxo-L-norleucine, ADRIAMYCIN® doxorubicin (including morpholino-doxorubicin, cyanomorpholino-doxorubicin, 2-pyrrolino-doxorubicin and deoxydoxorubicin), epirubicin, esorubicin, idarubicin, marcellomycin, mitomycins such as mitomycin C, mycophenolic acid, nogalamycin, olivomycins, peplomycin, potfiromycin, puromycin, quelamycin, rodorubicin, streptonigrin, streptozotocin, tubercidin, ubenimex, zinostatin, zorubicin; anti-metabolites such as methotrexate and 5-fluorouracil (5-FU); folic acid analogues such as denopterin, methotrexate, pteropterin, trimetrexate; purine analogs such as fludarabine, 6-mercaptopurine, thiamiprine, thioguanine; pyrimidine analogs such as ancitabine, azacitidine, 6-azauridine, carmofur, cytarabine, dideoxyuridine, doxifluridine, enocitabine, floxuridine; androgens such as calusterone, dromostanolone propionate, epitiostanol, mepitiostane, testolactone; anti-adrenals such as aminoglutethimide, mitotane, trilostane; folic acid replenisher such as frolinic acid; aceglatone; aldophosphamide glycoside; aminolevulinic acid; eniluracil; amsacrine; bestrabucil; bisantrene; edatraxate; defofamine; demecolcine; diaziquone; elformithine; elliptinium acetate; an epothilone; etoglucid; gallium nitrate; hydroxyurea; lentinan; lonidainine; maytansinoids such as maytansine and ansamitocins; mitoguazone; mitoxantrone; mopidanmol; nitraerine; pentostatin; phenamet; pirarubicin; losoxantrone; podophyllinic acid; 2-ethylhydrazide; procarbazine; PSK® polysaccharide complex (JHS Natural Products, Eugene, Oreg.); razoxane; rhizoxin; sizofuran; spirogermanium; tenuazonic acid; triaziquone; 2,2′,2″-trichlorotriethylamine; trichothecenes (especially T-2 toxin, verracurin A, roridin A and anguidine); urethan; vindesine; dacarbazine; mannomustine; mitobronitol; mitolactol; pipobroman; gacytosine; arabinoside (“Ara-C”); cyclophosphamide; thiotepa; taxoids, e.g., TAXOL® paclitaxel (Bristol-Myers Squibb Oncology, Princeton, N.J.), ABRAXANE® Cremophor-free, albumin-engineered nanoparticle formulation of paclitaxel (American Pharmaceutical Partners, Schaumberg, Ill.), and TAXOTERE® doxetaxel (Rhone-Poulenc Rorer, Antony, France); chloranbucil; GEMZAR® gemcitabine; 6-thioguanine; mercaptopurine; methotrexate; platinum analogs such as cisplatin, oxaliplatin and carboplatin; vinblastine; platinum; etoposide (VP-16); ifosfamide; mitoxantrone; vincristine; NAVELBINE, vinorelbine; novantrone; teniposide; edatrexate; daunomycin; aminopterin; xeloda; ibandronate; irinotecan (Camptosar, CPT-11) (including the treatment regimen of irinotecan with 5-FU and leucovorin); topoisomerase inhibitor RFS 2000; difluoromethylornithine (DMFO); retinoids such as retinoic acid; capecitabine; combretastatin; leucovorin (LV); oxaliplatin, including the oxaliplatin treatment regimen (FOLFOX); lapatinib (TYKERB.); inhibitors of PKC-alpha, Raf, H-Ras, EGFR (e.g., erlotinib (TARCEVA®)) and VEGF-A that reduce cell proliferation and pharmaceutically acceptable salts, acids or derivatives of any of the above. In addition, the methods of treatment can further include the use of radiation or radiation therapy.

In certain embodiments, the one or more additional agents are synergistic in that they increase immunogenicity after treatment. In one embodiment the additional agent allows for lower toxicity and/or lower discomfort due to lower doses of the additional therapeutic agents or any components of the therapy described herein. In another embodiment the additional agent results in longer lifespan due to increased effectiveness of the therapy described herein. Chemotherapeutic treatments that enhance the immunological response in a patient have been reviewed (Zitvogel et al., Immunological aspects of cancer chemotherapy. Nat Rev Immunol. 2008 January; 8(1):59-73). Additionally, chemotherapeutic agents can be administered safely with immunotherapy without inhibiting vaccine specific T-cell responses (Perez et al., A new era in anticancer peptide vaccines. Cancer May 2010). In one embodiment the additional agent is administered to increase the efficacy of the therapy described herein. In one embodiment the additional agent is a chemotherapy treatment. In one embodiment low doses of chemotherapy potentiate delayed-type hypersensitivity (DTH) responses. In one embodiment the chemotherapy agent targets regulatory T-cells. In one embodiment cyclophosphamide is the therapeutic agent. In one embodiment cyclophosphamide is administered prior to treatment with a target gene or gene product modulator. In one embodiment cyclophosphamide is administered as a single dose before treatment (Walter et al., Multipeptide immune response to cancer vaccine IMA901 after single-dose cyclophosphamide associates with longer patient survival. Nature Medicine; 18:8 2012). In another embodiment, cyclophosphamide is administered according to a metronomic program, where a daily dose is administered for one month (Ghiringhelli et al., Metronomic cyclophosphamide regimen selectively depletes CD4+CD25+ regulatory T cells and restores T and NK effector functions in end stage cancer patients. Cancer Immunol Immunother 2007 56:641-648). In another embodiment taxanes are administered before treatment to enhance T-cell and NK-cell functions (Zitvogel et al., 2008). In another embodiment a low dose of a chemotherapeutic agent is administered with the therapy described herein. In one embodiment the chemotherapeutic agent is estramustine. In one embodiment the cancer is hormone resistant prostate cancer. A ≥50% decrease in serum prostate specific antigen (PSA) was seen in 8.7% of advanced hormone refractory prostate cancer patients by personalized vaccination alone, whereas such a decrease was seen in 54% of patients when the personalized vaccination was combined with a low dose of estramustine (Itoh et al., Personalized peptide vaccines: A new therapeutic modality for cancer. Cancer Sci 2006; 97: 970-976). In another embodiment glucocorticoids are not administered with or before the therapy described herein (Zitvogel et al., 2008). In another embodiment glucocorticoids are administered after the therapy described herein. In another embodiment Gemcitabine is administered before, simultaneously, or after the therapy described herein to enhance the frequency of tumor specific CTL precursors (Zitvogel et al., 2008). In another embodiment 5-fluorouracil is administered with the therapy described herein as synergistic immune effects were seen with a peptide based vaccine (Zitvogel et al., 2008). In another embodiment an inhibitor of Braf, such as Vemurafenib, is used as an additional agent. Braf inhibition has been shown to be associated with an increase in melanoma antigen expression and T-cell infiltrate and a decrease in immunosuppressive cytokines in tumors of treated patients (Frederick et al., BRAF inhibition is associated with enhanced melanoma antigen expression and a more favorable tumor microenvironment in patients with metastatic melanoma. Clin Cancer Res. 2013; 19:1225-1231). In another embodiment, an inhibitor of tyrosine kinases is used as an additional agent. In one embodiment the tyrosine kinase inhibitor is used before treatment with the therapy described herein. In one embodiment the tyrosine kinase inhibitor is used simultaneously with the therapy described herein. In another embodiment the tyrosine kinase inhibitor is used to create a more immune permissive environment. In another embodiment the tyrosine kinase inhibitor is sunitinib or imatinib mesylate. It has previously been shown that favorable outcomes could be achieved with sequential administration of continuous daily dosing of sunitinib and recombinant vaccine (Farsaci et al., Consequence of dose scheduling of sunitinib on host immune response elements and vaccine combination therapy. Int J Cancer; 130: 1948-1959). Sunitinib has also been shown to reverse type-1 immune suppression using a daily dose of 50 mg/day (Finke et al., Sunitinib Reverses Type-1 Immune Suppression and Decreases T-Regulatory Cells in Renal Cell Carcinoma Patients. Clin Cancer Res 2008; 14(20)). In another embodiment additional targeted therapies are administered in combination with the therapy described herein. Doses of targeted therapies has been described previously (Alvarez, Present and future evolution of advanced breast cancer therapy. Breast Cancer Research 2010, 12(Suppl 2):S1). In another embodiment temozolomide is administered with the therapy described herein. In one embodiment temozolomide is administered at 200 mg/day for 5 days every fourth week of the therapy described herein. Results of a similar strategy have been shown to have low toxicity (Kyte et al., Telomerase Peptide Vaccination Combined with Temozolomide: A Clinical Trial in Stage IV Melanoma Patients. Clin Cancer Res; 17(13) 2011). In another embodiment the target gene or gene product modulator therapy is administered with an additional therapeutic agent that results in lymphopenia. In one embodiment the additional agent is temozolomide. An immune response can still be induced under these conditions (Sampson et al., Greater chemotherapy-induced lymphopenia enhances tumor-specific immune responses that eliminate EGFRvIII-expressing tumor cells in patients with glioblastoma. Neuro-Oncology 13(3):324-333, 2011).

In one embodiment the method may comprise administering the target gene or gene product modulator therapy within a standard of care for a particular cancer. In another embodiment the target gene or gene product modulator therapy is administered within a standard of care where addition of the therapy is synergistic with the steps in the standard of care.

In another aspect, the combination therapy described herein provides selecting the appropriate point to administer the target gene or gene product modulator therapy in relation to and within the standard of care for the cancer being treated for a patient in need thereof. The therapy can be effectively administered even within the standard of care that includes surgery, radiation, or chemotherapy. The standards of care for the most common cancers can be found on the website of National Cancer Institute (www.cancer.gov/cancertopics). The standard of care is the current treatment that is accepted by medical experts as a proper treatment for a certain type of disease and that is widely used by healthcare professionals. Standard or care is also called best practice, standard medical care, and standard therapy. Standards of Care for cancer generally include surgery, lymph node removal, radiation, chemotherapy, targeted therapies, antibodies targeting the tumor, and immunotherapy. Immunotherapy can include checkpoint blockers (CBP), chimeric antigen receptors (CARs), and adoptive T-cell therapy. The therapy described herein can be incorporated within the standard of care. The therapy described herein may also be administered where the standard of care has changed due to advances in medicine.

Incorporation of the target gene or gene product modulator therapy described herein may depend on a treatment step in the standard of care that can lead to activation of the immune system. Treatment steps that can activate and function synergistically with the therapy have been described herein. The therapy can be advantageously administered simultaneously or after a treatment that activates the immune system.

Incorporation of the therapy described herein may depend on a treatment step in the standard of care that causes the immune system to be suppressed. Such treatment steps may include irradiation, high doses of alkylating agents and/or methotrexate, steroids such as glucosteroids, surgery, such as to remove the lymph nodes, imatinib mesylate, high doses of TNF, and taxanes (Zitvogel et al., 2008). The target gene or gene product modulator therapy may be administered before such steps or may be administered after. Advantageously, the treatment is administered as part of adoptive T-cell therapy.

In one embodiment the therapy may be administered after bone marrow transplants and peripheral blood stem cell transplantation. Bone marrow transplantation and peripheral blood stem cell transplantation are procedures that restore stem cells that were destroyed by high doses of chemotherapy and/or radiation therapy. After being treated with high-dose anticancer drugs and/or radiation, the patient receives harvested stem cells, which travel to the bone marrow and begin to produce new blood cells. A “mini-transplant” uses lower, less toxic doses of chemotherapy and/or radiation to prepare the patient for transplant. A “tandem transplant” involves two sequential courses of high-dose chemotherapy and stem cell transplant. In autologous transplants, patients receive their own stem cells. In syngeneic transplants, patients receive stem cells from their identical twin. In allogeneic transplants, patients receive stem cells from their brother, sister, or parent. A person who is not related to the patient (an unrelated donor) also may be used. In some types of leukemia, the graft-versus-tumor (GVT) effect that occurs after allogeneic BMT and PBSCT is crucial to the effectiveness of the treatment. GVT occurs when white blood cells from the donor (the graft) identify the cancer cells that remain in the patient's body after the chemotherapy and/or radiation therapy (the tumor) as foreign and attack them. Immunotherapy with the therapy described herein can take advantage of this by increasing immunity after a transplant.

In one embodiment the therapy is administered to a patient in need thereof with a cancer that requires surgery. In one embodiment the combination therapy described herein is administered to a patient in need thereof in a cancer where the standard of care is primarily surgery followed by treatment to remove possible micro-metastases, such as breast cancer. Breast cancer is commonly treated by various combinations of surgery, radiation therapy, chemotherapy, and hormone therapy based on the stage and grade of the cancer. Adjuvant therapy for breast cancer is any treatment given after primary therapy to increase the chance of long-term survival. Neoadjuvant therapy is treatment given before primary therapy. Adjuvant therapy for breast cancer is any treatment given after primary therapy to increase the chance of long-term disease-free survival. Primary therapy is the main treatment used to reduce or eliminate the cancer. Primary therapy for breast cancer usually includes surgery, a mastectomy (removal of the breast) or a lumpectomy (surgery to remove the tumor and a small amount of normal tissue around it; a type of breast-conserving surgery). During either type of surgery, one or more nearby lymph nodes are also removed to see if cancer cells have spread to the lymphatic system. When a woman has breast-conserving surgery, primary therapy almost always includes radiation therapy. Even in early-stage breast cancer, cells may break away from the primary tumor and spread to other parts of the body (metastasize). Therefore, doctors give adjuvant therapy to kill any cancer cells that may have spread, even if they cannot be detected by imaging or laboratory tests.

In one embodiment the target gene or gene product modulator therapy is administered consistent with the standard of care for Ductal carcinoma in situ (DCIS). The standard of care for this breast cancer type is:

1. Breast-conserving surgery and radiation therapy with or without tamoxifen.

2. Total mastectomy with or without tamoxifen.

3. Breast-conserving surgery without radiation therapy.

The therapy may be administered before breast conserving surgery or total mastectomy to shrink the tumor before surgery. In another embodiment the therapy can be administered as an adjuvant therapy to remove any remaining cancer cells.

In another embodiment patients diagnosed with stage I, II, IIIA, and Operable IIIC breast cancer are treated with the therapy as described herein. The standard of care for this breast cancer type is:

1. Local-regional treatment:

-   -   Breast-conserving therapy (lumpectomy, breast radiation, and         surgical staging of the axilla).     -   Modified radical mastectomy (removal of the entire breast with         level I-II axillary dissection) with or without breast         reconstruction.     -   Sentinel node biopsy.

2. Adjuvant radiation therapy postmastectomy in axillary node-positive tumors:

-   -   For one to three nodes: unclear role for regional radiation         (infra/supraclavicular nodes, internal mammary nodes, axillary         nodes, and chest wall).     -   For more than four nodes or extranodal involvement: regional         radiation is advised.

3. Adjuvant systemic therapy

In one embodiment the therapy is administered as a neoadjuvant therapy to shrink the tumor. In another embodiment the therapy is administered as an adjuvant systemic therapy.

In another embodiment patients diagnosed with inoperable stage IIIB or IIIC or inflammatory breast cancer are treated with the therapy as described herein. The standard of care for this breast cancer type is:

1. Multimodality therapy delivered with curative intent is the standard of care for patients with clinical stage IIIB disease.

2. Initial surgery is generally limited to biopsy to permit the determination of histology, estrogen-receptor (ER) and progesterone-receptor (PR) levels, and human epidermal growth factor receptor 2 (HER2/neu) overexpression. Initial treatment with anthracycline-based chemotherapy and/or taxane-based therapy is standard. For patients who respond to neoadjuvant chemotherapy, local therapy may consist of total mastectomy with axillary lymph node dissection followed by postoperative radiation therapy to the chest wall and regional lymphatics. Breast-conserving therapy can be considered in patients with a good partial or complete response to neoadjuvant chemotherapy. Subsequent systemic therapy may consist of further chemotherapy. Hormone therapy should be administered to patients whose tumors are ER-positive or unknown. All patients should be considered candidates for clinical trials to evaluate the most appropriate fashion in which to administer the various components of multimodality regimens.

In one embodiment the therapy is administered as part of the various components of multimodality regimens. In another embodiment the therapy is administered before, simultaneously with, or after the multimodality regimens. In another embodiment the therapy is administered based on synergism between the modalities. In another embodiment the therapy is administered after treatment with anthracycline-based chemotherapy and/or taxane-based therapy (Zitvogel et al., 2008). The therapy may also be administered after radiation.

In another embodiment the therapy described herein is used in the treatment in a cancer where the standard of care is primarily not surgery and is primarily based on systemic treatments, such as Chronic Lymphocytic Leukemia (CLL).

In another embodiment patients diagnosed with stage I, II, III, and IV Chronic Lymphocytic Leukemia are treated with the therapy as described herein. The standard of care for this cancer type is:

1. Observation in asymptomatic or minimally affected patients

2. Rituximab

3. Ofatumomab

4. Oral alkylating agents with or without corticosteroids

5. Fludarabine, 2-chlorodeoxyadenosine, or pentostatin

6. Bendamustine

7. Lenalidomide

8. Combination chemotherapy.

-   -   combination chemotherapy regimens include the following:         -   Fludarabine plus cyclophosphamide plus rituximab.         -   Fludarabine plus rituximab as seen in the CLB-9712 and             CLB-9011 trials.         -   Fludarabine plus cyclophosphamide versus fludarabine plus             cyclophosphamide plus rituximab.         -   Pentostatin plus cyclophosphamide plus rituximab as seen in             the MAYO-MC0183 trial, for example.         -   Ofatumumab plus fludarabine plus cyclophosphamide.         -   CVP: cyclophosphamide plus vincristine plus prednisone.         -   CHOP: cyclophosphamide plus doxorubicin plus vincristine             plus prednisone.         -   Fludarabine plus cyclophosphamide versus fludarabine as seen             in the E2997 trial [NCT00003764] and the LRF-CLL4 trial, for             example.         -   Fludarabine plus chlorambucil as seen in the CLB-9011 trial,             for example.

9. Involved-field radiation therapy.

10. Alemtuzumab

11. Bone marrow and peripheral stem cell transplantations are under clinical evaluation.

12. Ibrutinib

In one embodiment the therapy is administered before, simultaneously with or after treatment with Rituximab or Ofatumomab. As these are monoclonal antibodies that target B-cells, treatment with the combination therapy may be synergistic. In another embodiment the therapy is administered after treatment with oral alkylating agents with or without corticosteroids, and Fludarabine, 2-chlorodeoxyadenosine, or pentostatin, as these treatments may negatively affect the immune system if administered before. In one embodiment bendamustine is administered with the therapy in low doses based on the results for prostate cancer described herein. In one embodiment the therapy is administered after treatment with bendamustine.

As used herein, the terms “chemotherapy” or “chemotherapeutic agent” refer to any chemical agent with therapeutic usefulness in the treatment of diseases characterized by abnormal cell growth. Such diseases include tumors, neoplasms and cancer as well as diseases characterized by hyperplastic growth. Chemotherapeutic agents as used herein encompass both chemical and biological agents. These agents function to inhibit a cellular activity upon which the cancer cell depends for continued survival. Categories of chemotherapeutic agents include alkylating/alkaloid agents, antimetabolites, hormones or hormone analogs, and miscellaneous antineoplastic drugs. Most if not all of these agents are directly toxic to cancer cells and do not require immune stimulation. In one embodiment, a chemotherapeutic agent is an agent of use in treating neoplasms such as solid tumors. In one embodiment, a chemotherapeutic agent is a radioactive molecule. One of skill in the art can readily identify a chemotherapeutic agent of use (e.g. see Slapak and Kufe, Principles of Cancer Therapy, Chapter 86 in Harrison's Principles of Internal Medicine, 14th edition; Perry et al., Chemotherapy, Ch. 17 in Abeloff, Clinical Oncology 2.sup.nd ed., 2000 Churchill Livingstone, Inc; Baltzer L, Berkery R (eds): Oncology Pocket Guide to Chemotherapy, 2nd ed. St. Louis, Mosby-Year Book, 1995; Fischer D S, Knobf M F, Durivage H J (eds): The Cancer Chemotherapy Handbook, 4th ed. St. Louis, Mosby-Year Book, 1993).

By “radiation therapy” is meant the use of directed gamma rays or beta rays to induce sufficient damage to a cell so as to limit its ability to function normally or to destroy the cell altogether. It will be appreciated that there will be many ways known in the art to determine the dosage and duration of treatment. Typical treatments are given as a one-time administration and typical dosages range from 10 to 200 units (Grays) per day.

By “reduce” or “inhibit” in terms of the cancer treatment methods described herein is meant the ability to cause an overall decrease preferably of 20% or greater, 30% or greater, 40% or greater, 45% or greater, more preferably of 50% or greater, of 55% or greater, of 60% or greater, of 65% or greater, of 70% or greater, and most preferably of 75% or greater, 80% or greater, 85% or greater, 90% or greater, or 95% or greater, for a given parameter or symptom. Reduce or inhibit can refer to, for example, the symptoms of the disorder being treated, the presence or size of metastases or micrometastases, the size of the primary tumor, or the presence or the size of a dormant tumor.

In other embodiments of the methods of treating chronic immune conditions by decreasing T cell exhaustion described herein, the subject being administered the one or more agents has or has been diagnosed as having a persistent infection with a bacterium, virus, fungus, or parasite.

“Persistent infections” refer to those infections that, in contrast to acute infections, are not effectively cleared by the induction of a host immune response. During such persistent infections, the infectious agent and the immune response reach equilibrium such that the infected subject remains infectious over a long period of time without necessarily expressing symptoms. Persistent infections often involve stages of both silent and productive infection without rapidly killing or even producing excessive damage of the host cells. Persistent infections include for example, latent, chronic and slow infections. Persistent infection occurs with viruses including, but not limited to, human T-Cell leukemia viruses, Epstein-Barr virus, cytomegalovirus, herpes viruses, varicella-zoster virus, measles, papovaviruses, prions, hepatitis viruses, adenoviruses, parvoviruses and papillomaviruses.

In a “chronic infection,” the infectious agent can be detected in the subject at all times. However, the signs and symptoms of the disease can be present or absent for an extended period of time. Non-limiting examples of chronic infection include hepatitis B (caused by hepatitis B virus (HBV)) and hepatitis C (caused by hepatitis C virus (HCV)) adenovirus, cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1, herpes simplex virus 2, human herpesvirus 6, varicella-zoster virus, hepatitis D virus, papilloma virus, parvovirus B19, polyomavirus BK, polyomavirus JC, measles virus, rubella virus, human immunodeficiency virus (HIV), human T cell leukemia virus I, and human T cell leukemia virus II. Parasitic persistent infections can arise as a result of infection by, for example, Leishmania, Toxoplasma, Trypanosoma, Plasmodium, Schistosoma, and Encephalitozoon.

In a “latent infection,” the infectious agent (such as a virus) is seemingly inactive and dormant such that the subject does not always exhibit signs or symptoms. In a latent viral infection, the virus remains in equilibrium with the host for long periods of time before symptoms again appear; however, the actual viruses cannot typically be detected until reactivation of the disease occurs. Non-limiting examples of latent infections include infections caused by herpes simplex virus (HSV)-1 (fever blisters), HSV-2 (genital herpes), and varicella zoster virus VZV (chickenpox-shingles).

In a “slow infection,” the infectious agents gradually increase in number over a very long period of time during which no significant signs or symptoms are observed. Non-limiting examples of slow infections include AIDS (caused by HIV-1 and HIV-2), lentiviruses that cause tumors in animals, and prions.

In addition, persistent infections that can be treated using the methods described herein include those infections that often arise as late complications of acute infections. For example, subacute sclerosing panencephalitis (SSPE) can occur following an acute measles infection or regressive encephalitis can occur as a result of a rubella infection.

The mechanisms by which persistent infections are maintained can involve modulation of virus and cellular gene expression and modification of the host immune response. Reactivation of a latent infection can be triggered by various stimuli, including changes in cell physiology, superinfection by another virus, and physical stress or trauma. Host immunosuppression is often associated with reactivation of a number of persistent virus infections.

Additional examples of infectious viruses include: Retroviridae; Picornaviridae (for example, polio viruses, hepatitis A virus; enteroviruses, human coxsackie viruses, rhinoviruses, echoviruses); Calciviridae (such as strains that cause gastroenteritis); Togaviridae (for example, equine encephalitis viruses, rubella viruses); Flaviridae (for example, dengue viruses, encephalitis viruses, yellow fever viruses); Coronaviridae (for example, coronaviruses); Rhabdoviridae (for example, vesicular stomatitis viruses, rabies viruses); Filoviridae (for example, ebola viruses); Paramyxoviridae (for example, parainfluenza viruses, mumps virus, measles virus, respiratory syncytial virus); Orthomyxoviridae (for example, influenza viruses); Bungaviridae (for example, Hantaan viruses, bunga viruses, phleboviruses and Nairo viruses); Arena viridae (hemorrhagic fever viruses); Reoviridae (e.g., reoviruses, orbiviurses and rotaviruses); Birnaviridae; Hepadnaviridae (Hepatitis B virus); Parvoviridae (parvoviruses); Papovaviridae (papilloma viruses, polyoma viruses); Adenoviridae (most adenoviruses); Herpesviridae (herpes simplex virus (HSV) 1 and HSV-2, varicella zoster virus, cytomegalovirus (CMV), herpes viruses); Poxviridae (variola viruses, vaccinia viruses, pox viruses); and Iridoviridae (such as African swine fever virus); and unclassified viruses (for example, the etiological agents of Spongiform encephalopathies, the agent of delta hepatitis (thought to be a defective satellite of hepatitis B virus), the agents of non-A, non-B hepatitis (class 1=internally transmitted; class 2=parenterally transmitted (i.e., Hepatitis C); Norwalk and related viruses, and astroviruses). The compositions, methods, and uses described herein are contemplated for use in treating infections with these viral agents.

Examples of fungal infections include but are not limited to: aspergillosis; thrush (caused by Candida albicans); cryptococcosis (caused by Cryptococcus); and histoplasmosis. Thus, examples of infectious fungi include, but are not limited to, Cryptococcus neoformans, Histoplasma capsulatum, Coccidioides immitis, Blastomyces dermatitidis, Chlamydia trachomatis, Candida albicans. The compositions, methods, and uses described herein are contemplated for use in treating infections with these fungal agents.

Examples of infectious bacteria include: Helicobacterpyloris, Borelia burgdorferi, Legionella pneumophilia, Mycobacteria sps (such as M. tuberculosis, M avium, M intracellulare, M. kansaii, M. gordonae), Staphylococcus aureus, Neisseria gonorrhoeae, Neisseria meningitidis, Listeria monocytogenes, Streptococcus pyogenes (Group A Streptococcus), Streptococcus agalactiae (Group B Streptococcus), Streptococcus (viridans group), Streptococcus faecalis, Streptococcus bovis, Streptococcus (anaerobic sps.), Streptococcus pneumoniae, pathogenic Campylobacter sp., Enterococcus sp., Haemophilus influenzae, Bacillus anthracis, Corynebacterium diphtheriae, Corynebacterium sp., Erysipelothrix rhusiopathiae, Clostridium perfringens, Clostridium tetani, Enterobacter aerogenes, Klebsiella pneumoniae, Pasteurella multocida, Bacteroides sp., Fusobacterium nucleatum, Streptobacillus moniliformis, Treponema pallidium, Treponema pertenue, Leptospira, and Actinomyces israelli. The compositions, methods, and uses described herein are contemplated for use in treating infections with these bacterial agents. Other infectious organisms (such as protists) include: Plasmodium falciparum and Toxoplasma gondii. The compositions, methods, and uses described herein are contemplated for use in treating infections with these agents.

In some embodiments, the methods described herein comprise administering an effective amount of the one or more modulators (i.e., inhibitor or activator) described herein to a subject or immune cell, preferably a T cell, in order to alleviate a symptom of persistent infection. As used herein, “alleviating a symptom of a persistent infection” is ameliorating any condition or symptom associated with the persistent infection. Alternatively, alleviating a symptom of a persistent infection can involve reducing the infectious microbial (such as viral, bacterial, fungal or parasitic) load in the subject relative to such load in an untreated control. As compared with an equivalent untreated control, such reduction or degree of prevention is at least 5%, 10%, 20%, 40%, 50%, 60%, 80%, 90%, 95%, or more as measured by any standard technique. Desirably, the persistent infection is cleared, or pathogen replication has been suppressed, as detected by any standard method known in the art, in which case the persistent infection is considered to have been treated. A patient who is being treated for a persistent infection is one who a medical practitioner has diagnosed as having such a condition. Diagnosis can be by any suitable means. Diagnosis and monitoring can involve, for example, detecting the level of microbial load in a biological sample (for example, a tissue biopsy, blood test, or urine test), detecting the level of a surrogate marker of the microbial infection in a biological sample, detecting symptoms associated with persistent infections, or detecting immune cells involved in the immune response typical of persistent infections (for example, detection of antigen specific T cells that are anergic and/or functionally impaired).

Autoimmune Disease

As used herein, an “autoimmune disease” refers to a class of diseases in which a subject's own antibodies react with host tissue or in which immune effector T cells are autoreactive to endogenous self-peptides and cause destruction of tissue. Thus an immune response is mounted against a subject's own antigens, referred to as self-antigens. A “self-antigen” as used herein refers to an antigen of a normal host tissue. Normal host tissue does not include cancer cells.

Modulation of T cell dysfunction as described herein can promote tolerance or dampen an inappropriate, unwanted, or undesirable immune response, thereby permitting treatment of autoimmune disease and/or conditions associated with transplants (e.g., graft vs. host disease).

Accordingly, in some embodiments of these methods and all such methods described herein, the autoimmune diseases to be treated or prevented using the methods described herein, include, but are not limited to: rheumatoid arthritis, Crohn's disease or colitis, multiple sclerosis, systemic lupus erythematosus (SLE), autoimmune encephalomyelitis, myasthenia gravis (MG), Hashimoto's thyroiditis, Goodpasture's syndrome, pemphigus (e.g., pemphigus vulgaris), Grave's disease, autoimmune hemolytic anemia, autoimmune thrombocytopenic purpura, scleroderma with anti-collagen antibodies, mixed connective tissue disease, polymyositis, pernicious anemia, idiopathic Addison's disease, autoimmune-associated infertility, glomerulonephritis (e.g., crescentic glomerulonephritis, proliferative glomerulonephritis), bullous pemphigoid, Sjogren's syndrome, insulin resistance, and autoimmune diabetes mellitus (type 1 diabetes mellitus; insulin-dependent diabetes mellitus), gastritis, autoimmune hepatitis, hemolytic anemia, autoimmune hemophilia, autoimmune lymphoproliferative syndrome (ALPS), autoimmune uveoretinitis, glomerulonephritis, Guillain-Barre syndrome, and psoriasis. Autoimmune disease has been recognized also to encompass atherosclerosis and Alzheimer's disease.

In some embodiments of the methods of promoting T cell tolerance, the subject being administered the one or more agents as described herein has or has been diagnosed with host versus graft disease (HVGD). In a further such embodiment, the subject being treated with the methods described herein is an organ or tissue transplant recipient. In other embodiments of the methods of promoting T cell tolerance by increasing T cell exhaustion described herein, the methods are used for increasing transplantation tolerance in a subject. In some such embodiments, the subject is a recipient of an allogenic transplant. The transplant can be any organ or tissue transplant, including but not limited to heart, kidney, liver, skin, pancreas, bone marrow, skin or cartilage. “Transplantation tolerance,” as used herein, refers to a lack of rejection of the donor organ by the recipient's immune system.

Dosage, Administration and Efficacy

The terms “subject” and “individual” as used in regard to any of the methods described herein are used interchangeably herein, and refer to an animal, for example a human, recipient of the bispecific or multispecific polypeptide agents described herein. For treatment of disease states which are specific for a specific animal such as a human subject, the term “subject” refers to that specific animal. The terms “non-human animals” and “non-human mammals” are used interchangeably herein, and include mammals such as rats, mice, rabbits, sheep, cats, dogs, cows, pigs, and non-human primates. The term “subject” also encompasses any vertebrate including but not limited to mammals, reptiles, amphibians and fish. However, advantageously, the subject is a mammal such as a human, or other mammals such as a domesticated mammal, e.g. dog, cat, horse, and the like. Production mammal, e.g. cow, sheep, pig, and the like are also encompassed in the term subject.

As used herein, in regard to any of the compositions, methods, and uses comprising one or more modulating agents (i.e., inhibitors or activators) or combinations thereof described herein, or adoptive cell transfer, the terms “treat,” “treatment,” “treating,” or “amelioration” refer to therapeutic treatments, wherein the object is to reverse, alleviate, ameliorate, inhibit, slow down or stop the progression or severity of a condition associated with, a disease or disorder. The term “treating” includes reducing or alleviating at least one adverse effect or symptom of a condition, disease or disorder associated with a chronic immune condition, such as, but not limited to, a chronic infection or a cancer. Treatment is generally “effective” if one or more symptoms or clinical markers are reduced. Alternatively, treatment is “effective” if the progression of a disease is reduced or halted. That is, “treatment” includes not just the improvement of symptoms or markers, but also a cessation of at least slowing of progress or worsening of symptoms that would be expected in absence of treatment. Beneficial or desired clinical results include, but are not limited to, alleviation of one or more symptom(s), diminishment of extent of disease, stabilized (i.e., not worsening) state of disease, delay or slowing of disease progression, amelioration or palliation of the disease state, and remission (whether partial or total), whether detectable or undetectable. The term “treatment” of a disease also includes providing relief from the symptoms or side-effects of the disease (including palliative treatment).

The term “effective amount” as used herein refers to the amount of one or more modulating agents (i.e., inhibitor or activator), or combinations thereof described herein, needed to alleviate at least one or more symptom of the disease or disorder being treated, and relates to a sufficient amount of pharmacological composition to provide the desired effect, i.e., reverse the functional exhaustion of antigen-specific T cells in a subject having a chronic immune condition, such as cancer or hepatitis C. The term “therapeutically effective amount” therefore refers to an amount of the one or more modulating agents (i.e., one or more inhibitor(s) and/or activator(s)), or combinations thereof described herein, using the methods as disclosed herein, that is sufficient to provide a particular effect when administered to a typical subject. An effective amount as used herein would also include an amount sufficient to delay the development of a symptom of the disease, alter the course of a symptom of the disease (for example but not limited to, slow the progression of a symptom of the disease), or reverse a symptom of the disease. Thus, it is not possible to specify the exact “effective amount”. However, for any given case, an appropriate “effective amount” can be determined by one of ordinary skill in the art using only routine experimentation. Effective amounts, toxicity, and therapeutic efficacy can be determined by standard pharmaceutical procedures in cell cultures or experimental animals, e.g., for determining the LD50 (the dose lethal to 50% of the population) and the ED50 (the dose therapeutically effective in 50% of the population). The dosage can vary depending upon the dosage form employed and the route of administration utilized. The dose ratio between toxic and therapeutic effects is the therapeutic index and can be expressed as the ratio LD50/ED50. Compositions, methods, and uses that exhibit large therapeutic indices are preferred. A therapeutically effective dose can be estimated initially from cell culture assays. Also, a dose can be formulated in animal models to achieve a circulating plasma concentration range that includes the IC50 (i.e., the concentration of the one or more modulators (i.e., inhibitor and/or activator)), or combinations thereof described herein, which achieves a half-maximal inhibition of measured function or activity) as determined in cell culture, or in an appropriate animal model. Levels in plasma can be measured, for example, by high performance liquid chromatography. The effects of any particular dosage can be monitored by a suitable bioassay. The dosage can be determined by a physician and adjusted, as necessary, to suit observed effects of the treatment. For example, increased production of one or more cytokines, such as IL-2 or TNFa or IFNg, decreased production of cytokines such as IL-10, increased expression of granzyme B or CD107a, increased ability to proliferate, or increased cytotoxicity are effector functions that can be used to determine whether a treatment is efficacious in a subject.

Modes of Administration

The one or more modulating agents (i.e., inhibitors and/or activators), or combinations thereof described herein, described herein can be administered to a subject in need thereof or a cell ex vivo by any appropriate route which results in an effective treatment in the subject or a modified cell. As used herein, the terms “administering,” and “introducing” are used interchangeably and refer to the placement of one or more modulating agents (i.e., inhibitor and/or activator), or a combination thereof, into a subject or cell by a method or route which results in at least partial localization of such agents at a desired site, such as a site of inflammation, or such as the cell surface or internally in the cell, such that a desired effect(s) is produced.

In some embodiments, the one or more modulators (i.e., inhibitor and/or activator) or combination thereof is administered to a subject having a chronic immune condition by any mode of administration that delivers the agent systemically or to a desired surface or target, and can include, but is not limited to, injection, infusion, instillation, and inhalation administration. To the extent that polypeptide agents can be protected from inactivation in the gut, oral administration forms are also contemplated. “Injection” includes, without limitation, intravenous, intramuscular, intraarterial, intrathecal, intraventricular, intracapsular, intraorbital, intracardiac, intradermal, intraperitoneal, transtracheal, subcutaneous, subcuticular, intraarticular, sub capsular, subarachnoid, intraspinal, intracerebro spinal, and intrasternal injection and infusion. In preferred embodiments, the one or more modulating agents (i.e., inhibitors and/or activators) for use in the methods described herein are administered by intravenous infusion or injection.

The phrases “parenteral administration” and “administered parenterally” as used herein, refer to modes of administration other than enteral and topical administration, usually by injection. The phrases “systemic administration,” “administered systemically”, “peripheral administration” and “administered peripherally” as used herein refer to the administration of the one or more modulating agents (i.e., inhibitor or activator), or combination thereof, other than directly into a target site, tissue, or organ, such as a tumor site, such that it enters the subject's circulatory system and, thus, is subject to metabolism and other like processes.

For the clinical use of the methods described herein, administration of the one or more modulating agents (i.e., inhibitors or activators), or combinations thereof described herein, can include formulation into pharmaceutical compositions or pharmaceutical formulations for parenteral administration, e.g., intravenous; mucosal, e.g., intranasal; ocular, or other mode of administration. In some embodiments, the one or more modulating agents (i.e., inhibitors and/or activators), or combinations thereof described herein, can be administered along with any pharmaceutically acceptable carrier compound, material, or composition which results in an effective treatment in the subject. Thus, a pharmaceutical formulation for use in the methods described herein can contain one or more modulating agents (i.e., inhibitor and/or activator), or combination thereof, as described herein in combination with one or more pharmaceutically acceptable ingredients.

The phrase “pharmaceutically acceptable” refers to those compounds, materials, compositions, and/or dosage forms which are, within the scope of sound medical judgment, suitable for use in contact with the tissues of human beings and animals without excessive toxicity, irritation, allergic response, or other problem or complication, commensurate with a reasonable benefit/risk ratio. The phrase “pharmaceutically acceptable carrier” as used herein means a pharmaceutically acceptable material, composition or vehicle, such as a liquid or solid filler, diluent, excipient, solvent, media, encapsulating material, manufacturing aid (e.g., lubricant, talc magnesium, calcium or zinc stearate, or steric acid), or solvent encapsulating material, involved in maintaining the stability, solubility, or activity of, one or more modulating agents (i.e., inhibitor and/or activator), or combination thereof. Each carrier must be “acceptable” in the sense of being compatible with the other ingredients of the formulation and not injurious to the patient. Some examples of materials which can serve as pharmaceutically-acceptable carriers include: (1) sugars, such as lactose, glucose and sucrose; (2) starches, such as corn starch and potato starch; (3) cellulose, and its derivatives, such as sodium carboxymethyl cellulose, methylcellulose, ethyl cellulose, microcrystalline cellulose and cellulose acetate; (4) powdered tragacanth; (5) malt; (6) gelatin; (7) excipients, such as cocoa butter and suppository waxes; (8) oils, such as peanut oil, cottonseed oil, safflower oil, sesame oil, olive oil, corn oil and soybean oil; (9) glycols, such as propylene glycol; (10) polyols, such as glycerin, sorbitol, mannitol and polyethylene glycol (PEG); (11) esters, such as ethyl oleate and ethyl laurate; (12) agar; (13) buffering agents, such as magnesium hydroxide and aluminum hydroxide; (14) alginic acid; (15) pyrogen-free water; (16) isotonic saline; (17) Ringer's solution; (19) pH buffered solutions; (20) polyesters, polycarbonates and/or polyanhydrides; (21) bulking agents, such as polypeptides and amino acids (22) serum components, such as serum albumin, HDL and LDL; (23) C2-C12 alcohols, such as ethanol; and (24) other non-toxic compatible substances employed in pharmaceutical formulations. Release agents, coating agents, preservatives, and antioxidants can also be present in the formulation. The terms such as “excipient”, “carrier”, “pharmaceutically acceptable carrier” or the like are used interchangeably herein.

The one or more modulating agents (i.e., inhibitors and/or activators) or combinations thereof described herein can be specially formulated for administration of the compound to a subject in solid, liquid or gel form, including those adapted for the following: (1) parenteral administration, for example, by subcutaneous, intramuscular, intravenous or epidural injection as, for example, a sterile solution or suspension, or sustained-release formulation; (2) topical application, for example, as a cream, ointment, or a controlled-release patch or spray applied to the skin; (3) intravaginally or intrarectally, for example, as a pessary, cream or foam; (4) ocularly; (5) transdermally; (6) transmucosally; or (79) nasally. Additionally, a bispecific or multispecific polypeptide agent can be implanted into a patient or injected using a drug delivery system. See, for example, Urquhart, et al., Ann. Rev. Pharmacol. Toxicol. 24: 199-236 (1984); Lewis, ed. “Controlled Release of Pesticides and Pharmaceuticals” (Plenum Press, New York, 1981); U.S. Pat. No. 3,773,919; and U.S. Pat. No. 35 3,270,960.

Further embodiments of the formulations and modes of administration of the compositions comprising the one or more modulating agents (i.e., inhibitors and/or activators), or combinations thereof described herein, that can be used in the methods described herein are described below.

Parenteral Dosage Forms.

Parenteral dosage forms of the one or more modulating agents (i.e., inhibitors or activators), or combinations thereof, can also be administered to a subject with a chronic immune condition by various routes, including, but not limited to, subcutaneous, intravenous (including bolus injection), intramuscular, and intraarterial. Since administration of parenteral dosage forms typically bypasses the patient's natural defenses against contaminants, parenteral dosage forms are preferably sterile or capable of being sterilized prior to administration to a patient. Examples of parenteral dosage forms include, but are not limited to, solutions ready for injection, dry products ready to be dissolved or suspended in a pharmaceutically acceptable vehicle for injection, suspensions ready for injection, controlled-release parenteral dosage forms, and emulsions.

Suitable vehicles that can be used to provide parenteral dosage forms of the disclosure are well known to those skilled in the art. Examples include, without limitation: sterile water; water for injection USP; saline solution; glucose solution; aqueous vehicles such as but not limited to, sodium chloride injection, Ringer's injection, dextrose injection, dextrose and sodium chloride injection, and lactated Ringer's injection; water-miscible vehicles such as, but not limited to, ethyl alcohol, polyethylene glycol, and propylene glycol; and non-aqueous vehicles such as, but not limited to, corn oil, cottonseed oil, peanut oil, sesame oil, ethyl oleate, isopropyl myristate, and benzyl benzoate

Aerosol Formulations.

The one or more modulating agents (i.e., inhibitor or activator) described herein or combinations thereof can be packaged in a pressurized aerosol container together with suitable propellants, for example, hydrocarbon propellants like propane, butane, or isobutane with conventional adjuvants. An IL-27 or NFIL-3 modulator (i.e., inhibitor or activator), or combinations thereof described herein, can also be administered in a non-pressurized form such as in a nebulizer or atomizer. The one or more modulating agents (i.e., inhibitor and/or activator), or combinations thereof described herein, can also be administered directly to the airways in the form of a dry powder, for example, by use of an inhaler.

Suitable powder compositions include, by way of illustration, powdered preparations of the one or more modulating agents (i.e., inhibitor and/or activator), or combinations thereof described herein, thoroughly intermixed with lactose, or other inert powders acceptable for intrabronchial administration. The powder compositions can be administered via an aerosol dispenser or encased in a breakable capsule which can be inserted by the subject into a device that punctures the capsule and blows the powder out in a steady stream suitable for inhalation. The compositions can include propellants, surfactants, and co-solvents and can be filled into conventional aerosol containers that are closed by a suitable metering valve.

Aerosols for the delivery to the respiratory tract are known in the art. See for example, Adjei, A. and Garren, J. Pharm. Res., 1: 565-569 (1990); Zanen, P. and Lamm, J.-W. J. Int. J. Pharm., 114: 111-115 (1995); Gonda, I. “Aerosols for delivery of therapeutic and diagnostic agents to the respiratory tract,” in Critical Reviews in Therapeutic Drug Carrier Systems, 6:273-313 (1990); Anderson et al., Am. Rev. Respir. Dis., 140: 1317-1324 (1989)) and have potential for the systemic delivery of peptides and proteins as well (Patton and Platz, Advanced Drug Delivery Reviews, 8:179-196 (1992)); Timsina et. al., Int. J. Pharm., 101: 1-13 (1995); and Tansey, I. P., Spray Technol. Market, 4:26-29 (1994); French, D. L., Edwards, D. A. and Niven, R. W., Aerosol Sci., 27: 769-783 (1996); Visser, J., Powder Technology 58: 1-10 (1989)); Rudt, S. and R. H. Muller, J. Controlled Release, 22: 263-272 (1992); Tabata, Y, and Y. Ikada, Biomed. Mater. Res., 22: 837-858 (1988); Wall, D. A., Drug Delivery, 2: 10 1-20 1995); Patton, J. and Platz, R., Adv. Drug Del. Rev., 8: 179-196 (1992); Bryon, P., Adv. Drug. Del. Rev., 5: 107-132 (1990); Patton, J. S., et al., Controlled Release, 28: 15 79-85 (1994); Damms, B. and Bains, W., Nature Biotechnology (1996); Niven, R. W., et al., Pharm. Res., 12(9); 1343-1349 (1995); and Kobayashi, S., et al., Pharm. Res., 13(1): 80-83 (1996), contents of all of which are herein incorporated by reference in their entirety.

The formulations of the one or more modulating agents (i.e., inhibitors and/or activators), or combinations thereof described herein, further encompass anhydrous pharmaceutical compositions and dosage forms comprising the disclosed compounds as active ingredients, since water can facilitate the degradation of some compounds. For example, the addition of water (e.g., 5%) is widely accepted in the pharmaceutical arts as a means of simulating long-term storage in order to determine characteristics such as shelf life or the stability of formulations over time. See, e.g., Jens T. Carstensen, Drug Stability: Principles & Practice, 379-80 (2nd ed., Marcel Dekker, NY, N.Y.: 1995). Anhydrous pharmaceutical compositions and dosage forms of the disclosure can be prepared using anhydrous or low moisture containing ingredients and low moisture or low humidity conditions. Pharmaceutical compositions and dosage forms that comprise lactose and at least one active ingredient that comprises a primary or secondary amine are preferably anhydrous if substantial contact with moisture and/or humidity during manufacturing, packaging, and/or storage is expected. Anhydrous compositions are preferably packaged using materials known to prevent exposure to water such that they can be included in suitable formulary kits. Examples of suitable packaging include, but are not limited to, hermetically sealed foils, plastics, unit dose containers (e.g., vials) with or without desiccants, blister packs, and strip packs.

Controlled and Delayed Release Dosage Forms.

In some embodiments of the aspects described herein, the one or more modulating agents (i.e., inhibitor and/or activator), or combinations thereof described herein, can be administered to a subject by controlled- or delayed-release means. Ideally, the use of an optimally designed controlled-release preparation in medical treatment is characterized by a minimum of drug substance being employed to cure or control the condition in a minimum amount of time. Advantages of controlled-release formulations include: 1) extended activity of the drug; 2) reduced dosage frequency; 3) increased patient compliance; 4) usage of less total drug; 5) reduction in local or systemic side effects; 6) minimization of drug accumulation; 7) reduction in blood level fluctuations; 8) improvement in efficacy of treatment; 9) reduction of potentiation or loss of drug activity; and 10) improvement in speed of control of diseases or conditions. (Kim, Cherng-ju, Controlled Release Dosage Form Design, 2 (Technomic Publishing, Lancaster, Pa.: 2000)). Controlled-release formulations can be used to control a compound of formula (I)'s onset of action, duration of action, plasma levels within the therapeutic window, and peak blood levels. In particular, controlled- or extended-release dosage forms or formulations can be used to ensure that the maximum effectiveness of a compound of formula (I) is achieved while minimizing potential adverse effects and safety concerns, which can occur both from under-dosing a drug (i.e., going below the minimum therapeutic levels) as well as exceeding the toxicity level for the drug.

A variety of known controlled- or extended-release dosage forms, formulations, and devices can be adapted for use with the one or more modulating agents (i.e., inhibitors or activators), or combinations thereof described herein. Examples include, but are not limited to, those described in U.S. Pat. Nos. 3,845,770; 3,916,899; 3,536,809; 3,598,123; 4,008,719; 5,674,533; 5,059,595; 5,591,767; 5,120,548; 5,073,543; 5,639,476; 5,354,556; 5,733,566; and 6,365,185 B1, each of which is incorporated herein by reference in their entireties. These dosage forms can be used to provide slow or controlled-release of one or more active ingredients using, for example, hydroxypropylmethyl cellulose, other polymer matrices, gels, permeable membranes, osmotic systems (such as OROS® (Alza Corporation, Mountain View, Calif. USA)), multilayer coatings, microparticles, liposomes, or microspheres or a combination thereof to provide the desired release profile in varying proportions. Additionally, ion exchange materials can be used to prepare immobilized, adsorbed salt forms of the disclosed compounds and thus effect controlled delivery of the drug. Examples of specific anion exchangers include, but are not limited to, DUOLITE® A568 and DUOLITE® AP143 (Rohm&Haas, Spring House, Pa. USA).

In some embodiments of the methods described herein, the one or more modulating agents (i.e., inhibitors and/or activators), or combinations thereof described herein, for use in the methods described herein is administered to a subject by sustained release or in pulses. Pulse therapy is not a form of discontinuous administration of the same amount of a composition over time, but comprises administration of the same dose of the composition at a reduced frequency or administration of reduced doses. Sustained release or pulse administrations are particularly preferred when the disorder occurs continuously in the subject, for example where the subject has continuous or chronic symptoms of a viral infection. Each pulse dose can be reduced and the total amount of the one or more modulating agents (i.e., inhibitor or activator), or combinations thereof described herein, administered over the course of treatment to the subject or patient is minimized.

The interval between pulses, when necessary, can be determined by one of ordinary skill in the art. Often, the interval between pulses can be calculated by administering another dose of the composition when the composition or the active component of the composition is no longer detectable in the subject prior to delivery of the next pulse. Intervals can also be calculated from the in vivo half-life of the composition. Intervals can be calculated as greater than the in vivo half-life, or 2, 3, 4, 5 and even 10 times greater the composition half-life. Various methods and apparatus for pulsing compositions by infusion or other forms of delivery to the patient are disclosed in U.S. Pat. Nos. 4,747,825; 4,723,958; 4,948,592; 4,965,251 and 5,403,590.

In one embodiment, RNA interfering agents used in the methods described herein are taken up actively by cells in vivo following intravenous injection, e.g., hydrodynamic injection, without the use of a vector, illustrating efficient in vivo delivery of the RNA interfering agents, e.g., the siRNAs used in the methods of the invention. Exemplary delivery methods for RNA interfering agents may also be used to deliver any of CRISPR/Cas system, Zinc finger, or TALE.

Other strategies for delivery of the RNA interfering agents, e.g., the siRNAs or shRNAs, used in the methods of the invention, can also be employed, such as, for example, delivery by a vector, e.g., a plasmid or viral vector, e.g., a lentiviral vector. Such vectors can be used as described, for example, in Xiao-Feng Qin et al. Proc. Natl. Acad. Sci. U.S.A., 100: 183-188. Other delivery methods include delivery of the RNA interfering agents, e.g., the siRNAs or shRNAs of the invention, using a basic peptide by conjugating or mixing the RNA interfering agent with a basic peptide, e.g., a fragment of a TAT peptide, mixing with cationic lipids or formulating into particles.

As noted, the dsRNA, such as siRNA or shRNA can be delivered using an inducible vector, such as a tetracycline inducible vector. Methods described, for example, in Wang et al. Proc. Natl. Acad. Sci. 100: 5103-5106, using pTet-On vectors (BD Biosciences Clontech, Palo Alto, Calif.) can be used. In some embodiments, a vector can be a plasmid vector, a viral vector, or any other suitable vehicle adapted for the insertion and foreign sequence and for the introduction into eukaryotic cells. The vector can be an expression vector capable of directing the transcription of the DNA sequence of the agonist or antagonist nucleic acid molecules into RNA. Viral expression vectors can be selected from a group comprising, for example, reteroviruses, lentiviruses, Epstein Barr virus-, bovine papilloma virus, adenovirus- and adeno-associated-based vectors or hybrid virus of any of the above. In one embodiment, the vector is episomal. The use of a suitable episomal vector provides a means of maintaining the antagonist nucleic acid molecule in the subject in high copy number extra chromosomal DNA thereby eliminating potential effects of chromosomal integration.

Methods of delivering RNAi agents, e.g., an siRNA, or vectors containing an RNAi agent, to the target cells (e.g., basal cells or cells of the lung and/or respiratory system or other desired target cells) are well known to persons of ordinary skill in the art. In some embodiments, a RNAi agent can be administered to a subject via aerosol means, for example using a nebulizer and the like. In alternative embodiments, administration of a RNAi agent (e.g. can include, for example (i) injection of a composition containing the RNA interfering agent, e.g., an siRNA, or (ii) directly contacting the cell, e.g., a cell of the respiratory system, with a composition comprising an RNAi agent, e.g., an siRNA. In another embodiment, RNAi agents, e.g., an siRNA can be injected directly into any blood vessel, such as vein, artery, venule or arteriole, via, e.g., hydrodynamic injection or catheterization. In some embodiments an RNAi inhibitor can delivered to specific organs, for example the liver, bone marrow or systemic administration. Administration can be by a single injection or by two or more injections.

In some embodiments, a RNAi agent is delivered in a pharmaceutically acceptable carrier. One or more RNAi agents can be used simultaneously, e.g. one or more gene silencing RNAi agent inhibitors of target gene(s) can be together. The RNA interfering agents, can be delivered singly, or in combination with other RNA interfering agents, e.g., siRNAs, such as, for example siRNAs directed to other cellular genes. A gene silencing-RNAi agent inhibitor of target gene(s) can also be administered in combination with other pharmaceutical agents which are used to treat or prevent diseases or disorders.

In one embodiment, specific cells are targeted with RNA interference, limiting potential side effects of RNA interference caused by non-specific targeting of RNA interference. The method can use, for example, a complex or a fusion molecule comprising a cell targeting moiety and an RNA interference binding moiety that is used to deliver RNAi effectively into cells. For example, an antibody-protamine fusion protein when mixed with an siRNA, binds siRNA and selectively delivers the siRNA into cells expressing an antigen recognized by the antibody, resulting in silencing of gene expression only in those cells that express the antigen which is identified by the antibody. In some embodiments, the antibody can be any antibody which identifies an antigen expressed on cells expressing the target gene or gene product. In some embodiments, the antibody is an antibody which binds to the target gene product antigen, but where the antibody can or does not inhibit the target gene product function. In some embodiments, the siRNA can be conjugated to an antagonist of the target gene product, for example where the antagonist is a polypeptide, and where the conjugation with the RNAi does not interrupt the function of the antagonist.

In some embodiments, a siRNA or RNAi binding moiety is a protein or a nucleic acid binding domain or fragment of a protein, and the binding moiety is fused to a portion of the targeting moiety. The location of the targeting moiety can be either in the carboxyl-terminal or amino-terminal end of the construct or in the middle of the fusion protein.

In some embodiments, a viral-mediated delivery mechanism can also be employed to deliver siRNAs to cells in vitro and in vivo as described in Xia, H. et al. (2002) Nat Biotechnol 20(10): 1006). Plasmid- or viral-mediated delivery mechanisms of shRNA can also be employed to deliver shRNAs to cells in vitro and in vivo as described in Rubinson, D. A., et al. ((2003) Nat. Genet. 33:401-406) and Stewart, S. A., et al. ((2003) RNA 9:493-501). Alternatively, in other embodiments, a RNAi agent, e.g., a gene silencing-RNAi agent inhibitor of a target gene can also be introduced into cells via the vascular or extravascular circulation, the blood or lymph system, and the cerebrospinal fluid.

In general, any method of delivering a nucleic acid molecule can be adapted for use with an RNAi interference molecule (see e.g., Akhtar S. and Julian R L. (1992) Trends Cell. Biol. 2(5): 139-144; WO94/02595, which are incorporated herein by reference in their entirety). However, there are three factors that are important to consider in order to successfully deliver an RNAi molecule in vivo: (a) biological stability of the RNAi molecule, (2) preventing non-specific effects, and (3) accumulation of the RNAi molecule in the target tissue. The non-specific effects of an RNAi molecule can be minimized by local administration by e.g., direct injection into a tissue including, for example, a tumor or topically administering the molecule.

Local administration of an RNAi molecule to a treatment site limits the exposure of the e.g., siRNA to systemic tissues and permits a lower dose of the RNAi molecule to be administered. Several studies have shown successful knockdown of gene products when an RNAi molecule is administered locally. For example, intraocular delivery of a VEGF siRNA by intravitreal injection in cynomolgus monkeys (Tolentino, M J., et al (2004) Retina 24: 132-138) and subretinal injections in mice (Reich, S J., et al (2003) Mol. Vis. 9:210-216) were both shown to prevent neovascularization in an experimental model of age-related macular degeneration. In addition, direct intratumoral injection of an siRNA in mice reduces tumor volume (Pille, J., et al (2005) Mol. Ther. 11:267-274) and can prolong survival of tumor-bearing mice (Kim, W J., et al (2006) Mol. Ther. 14:343-350; Li, S., et al (2007) Mol. Ther. 15:515-523). RNA interference has also shown success with local delivery to the CNS by direct injection (Dorn, G., et al (2004) Nucleic Acids 32:e49; Tan, P H., et al (2005) Gene Ther. 12:59-66; Makimura, H., et al (2002) BMC Neurosci. 3:18; Shishkina, G T., et al (2004) Neuroscience 129:521-528; Thakker, E R., et al (2004) Proc. Natl. Acad. Sci. U.S.A. 101:17270-17275; Akaneya, Y., et al (2005) J. Neurophysiol. 93:594-602) and to the lungs by intranasal administration (Howard, K A., et al (2006) Mol. Ther. 14:476-484; Zhang, X., et al (2004) J. Biol. Chem. 279: 10677-10684; Bitko, V., et al (2005) Nat. Med. 11:50-55).

For administering an RNAi molecule systemically for the treatment of a disease, the RNAi molecule can be either be modified or alternatively delivered using a drug delivery system; both methods act to prevent the rapid degradation of the RNAi molecule by endo- and exo-nucleases in vivo. Modification of the RNAi molecule or the pharmaceutical carrier can also permit targeting of the RNAi molecule to the target tissue and avoid undesirable off-target effects.

RNA interference molecules can be modified by chemical conjugation to lipophilic groups such as cholesterol to enhance cellular uptake and prevent degradation. For example, an siRNA directed against ApoB conjugated to a lipophilic cholesterol moiety was injected systemically into mice and resulted in knockdown of apoB mRNA in both the liver and jejunum (Soutschek, J., et al (2004) Nature 432: 173-178). Conjugation of an RNAi molecule to an aptamer has been shown to inhibit tumor growth and mediate tumor regression in a mouse model of prostate cancer (McNamara, J O., et al (2006) Nat. Biotechnol. 24: 1005-1015).

In an alternative embodiment, the RNAi molecules can be delivered using drug delivery systems such as e.g., a nanoparticle, a dendrimer, a polymer, liposomes, or a cationic delivery system. Positively charged cationic delivery systems facilitate binding of an RNA interference molecule (negatively charged) and also enhance interactions at the negatively charged cell membrane to permit efficient uptake of an siRNA by the cell. Cationic lipids, dendrimers, or polymers can either be bound to an RNA interference molecule, or induced to form a vesicle or micelle (see e.g., Kim S H., et al (2008) Journal of Controlled Release 129(2): 107-116) that encases an RNAi molecule. The formation of vesicles or micelles further prevents degradation of the RNAi molecule when administered systemically. Methods for making and administering cationic-RNAi complexes are well within the abilities of one skilled in the art (see e.g., Sorensen, D R., et al (2003) J. Mol. Biol 327:761-766; Verma, U N., et al (2003) Clin. Cancer Res. 9: 1291-1300; Arnold, A S et al (2007) J. Hypertens. 25: 197-205, which are incorporated herein by reference in their entirety).

Some non-limiting examples of drug delivery systems useful for systemic administration of RNAi include DOTAP (Sorensen, D R., et al (2003), supra; Verma, U N., et al (2003), supra), Oligofectamine, “solid nucleic acid lipid particles” (Zimmermann, T S., et al (2006) Nature 441:111-114), cardiolipin (Chien, P Y., et al (2005) Cancer Gene Ther. 12:321-328; Pal, A., et al (2005) Int J. Oncol. 26: 1087-1091), polyethyleneimine (Bonnet M E., et al (2008) Pharm. Res. August 16 Epub ahead of print; Aigner, A. (2006) J. Biomed. Biotechnol. 71659), Arg-Gly-Asp (RGD) peptides (Liu, S. (2006) Mol. Pharm. 3:472-487), and polyamidoamines (Tomalia, D A., et al (2007) Biochem. Soc. Trans. 35:61-67; Yoo, H., et al (1999) Pharm. Res. 16: 1799-1804). In some embodiments, an RNAi molecule forms a complex with cyclodextrin for systemic administration. Methods for administration and pharmaceutical compositions of RNAi molecules and cyclodextrins can be found in U.S. Pat. No. 7,427,605, which is herein incorporated by reference in its entirety. Specific methods for administering an RNAi molecule for the inhibition of angiogenesis can be found in e.g., U.S. Patent Application No. 20080152654, which is herein incorporated by reference in its entirety.

In some embodiments, the siRNA, dsRNA, or shRNA vector can be administered systemically, such as intravenously, e. g. via central venous catheter (CVC or central venous line or central venous access catheter) placed into a large vein in the neck (internal jugular vein), chest (subclavian vein) or groin (femoral vein). Methods of systemic delivery of siRNA, dsRNA, or shRNA vector are well known in the art, e. g. as described herein and in Gao and Huang, 2008, (Mol. Pharmaceutics, Web publication December 30) and review by Rossi, 2006, Gene Therapy, 13:583-584. The siRNA, dsRNA, or shRNA vector can be formulated in various ways, e. g. conjugation of a cholesterol moiety to one of the strands of the siRNA duplex for systemic delivery to the liver and jejunum (Soutschek J. et. al. 2004, Nature, 432: 173-178), complexing of siRNAs to protamine fused with an antibody fragment for receptor-mediated targeting of siRNAs (Song E, et al. 2005, Nat Biotechnol., 23:709-717) and the use of a lipid bilayer system by Morrissey et al. 2005 (Nat Biotechnol., 23:1002-1007). The lipid bilayer system produces biopolymers that are in the 120 nanometer diameter size range, and are labeled as SNALPs, for Stable-Nucleic-Acid-Lipid-Particles. The lipid combination protects the siRNAs from serum nucleases and allows cellular endosomal uptake and subsequent cytoplasmic release of the siRNAs (see WO/2006/007712). These references are incorporated by reference in their entirety.

The dose of the particular RNAi agent will be in an amount necessary to effect RNA interference, e.g., gene silencing of the target gene, thereby leading to a subsequent decrease in the target protein level.

In another embodiment of the invention, agents which are inhibitors of the target gene or protein are catalytic nucleic acid constructs, such as, for example ribozymes, which are capable of cleaving RNA transcripts and thereby preventing the production of wildtype protein. Ribozymes are targeted to and anneal with a particular sequence by virtue of two regions of sequence complementary to the target flanking the ribozyme catalytic site. After binding, the ribozyme cleaves the target in a site specific manner. The design and testing of ribozymes which specifically recognize and cleave sequences of the gene products described herein can be achieved by techniques well known to those skilled in the art (for example Lleber and Strauss, (1995) Mol Cell Biol 15:540.551, the disclosure of which is incorporated herein by reference).

The term “vectors” refers to a nucleic acid molecule capable of transporting another nucleic acid to which it has been linked; a plasmid is a species of the genus encompassed by “vector”. The term “vector” typically refers to a nucleic acid sequence containing an origin of replication and other entities necessary for replication and/or maintenance in a host cell. Vectors capable of directing the expression of genes and/or nucleic acid sequence to which they are operatively linked are referred to herein as “expression vectors”. In general, expression vectors of utility are often in the form of “plasmids” which refer to circular double stranded DNA loops which, in their vector form are not bound to the chromosome, and typically comprise entities for stable or transient expression or the encoded DNA. Other expression vectors can be used in the methods as disclosed herein for example, but are not limited to, plasmids, episomes, bacterial artificial chromosomes, yeast artificial chromosomes, bacteriophages or viral vectors, and such vectors can integrate into the host's genome or replicate autonomously in the particular cell. A vector can be a DNA or RNA vector. Other forms of expression vectors known by those skilled in the art which serve the equivalent functions can also be used, for example self replicating extrachromosomal vectors or vectors which integrates into a host genome. Preferred vectors are those capable of autonomous replication and/or expression of nucleic acids to which they are linked. Vectors capable of directing the expression of genes to which they are operatively linked are referred to herein as “expression vectors”.

The term “viral vectors” refers to the use as viruses, or virus-associated vectors as carriers of the nucleic acid construct into the cell. Constructs may be integrated and packaged into non-replicating, defective viral genomes like Adenovirus, Adeno-associated virus (AAV), or Herpes simplex virus (HSV) or others, including reteroviral and lentiviral vectors, for infection or transduction into cells. The vector may or may not be incorporated into the cells genome. The constructs may include viral sequences for transfection, if desired. Alternatively, the construct may be incorporated into vectors capable of episomal replication, e.g. EPV and EBV vectors.

As used herein, a “promoter” or “promoter region” or “promoter element” used interchangeably herein, refers to a segment of a nucleic acid sequence, typically but not limited to DNA or RNA or analogues thereof, that controls the transcription of the nucleic acid sequence to which it is operatively linked. The promoter region includes specific sequences that are sufficient for RNA polymerase recognition, binding and transcription initiation. This portion of the promoter region is referred to as the promoter. In addition, the promoter region includes sequences which modulate this recognition, binding and transcription initiation activity of RNA polymerase. These sequences may be cis-acting or may be responsive to trans-acting factors. Promoters, depending upon the nature of the regulation may be constitutive or regulated.

The term “regulatory sequences” is used interchangeably with “regulatory elements” herein refers element to a segment of nucleic acid, typically but not limited to DNA or RNA or analogues thereof, that modulates the transcription of the nucleic acid sequence to which it is operatively linked, and thus act as transcriptional modulators. Regulatory sequences modulate the expression of gene and/or nucleic acid sequence to which they are operatively linked. Regulatory sequence often comprise “regulatory elements” which are nucleic acid sequences that are transcription binding domains and are recognized by the nucleic acid-binding domains of transcriptional proteins and/or transcription factors, repressors or enhancers etc. Typical regulatory sequences include, but are not limited to, transcriptional promoters, inducible promoters and transcriptional elements, an optional operate sequence to control transcription, a sequence encoding suitable mRNA ribosomal binding sites, and sequences to control the termination of transcription and/or translation. Regulatory sequences can be a single regulatory sequence or multiple regulatory sequences, or modified regulatory sequences or fragments thereof. Modified regulatory sequences are regulatory sequences where the nucleic acid sequence has been changed or modified by some means, for example, but not limited to, mutation, methylation etc.

The term “operatively linked” as used herein refers to the functional relationship of the nucleic acid sequences with regulatory sequences of nucleotides, such as promoters, enhancers, transcriptional and translational stop sites, and other signal sequences. For example, operative linkage of nucleic acid sequences, typically DNA, to a regulatory sequence or promoter region refers to the physical and functional relationship between the DNA and the regulatory sequence or promoter such that the transcription of such DNA is initiated from the regulatory sequence or promoter, by an RNA polymerase that specifically recognizes, binds and transcribes the DNA. In order to optimize expression and/or in vitro transcription, it may be necessary to modify the regulatory sequence for the expression of the nucleic acid or DNA in the cell type for which it is expressed. The desirability of, or need of, such modification may be empirically determined. Enhancers need not be located in close proximity to the coding sequences whose transcription they enhance. Furthermore, a gene transcribed from a promoter regulated in trans by a factor transcribed by a second promoter may be said to be operatively linked to the second promoter. In such a case, transcription of the first gene is said to be operatively linked to the first promoter and is also said to be operatively linked to the second promoter.

Hence, in certain embodiments the invention involves vectors, e.g. for delivering or introducing in a cell the DNA targeting agent according to the invention as described herein, such as by means of example Cas and/or RNA capable of guiding Cas to a target locus (i.e. guide RNA), but also for propagating these components (e.g. in prokaryotic cells). A used herein, a “vector” is a tool that allows or facilitates the transfer of an entity from one environment to another. It is a replicon, such as a plasmid, phage, or cosmid, into which another DNA segment may be inserted so as to bring about the replication of the inserted segment. Generally, a vector is capable of replication when associated with the proper control elements. In general, the term “vector” refers to a nucleic acid molecule capable of transporting another nucleic acid to which it has been linked. Vectors include, but are not limited to, nucleic acid molecules that are single-stranded, double-stranded, or partially double-stranded; nucleic acid molecules that comprise one or more free ends, no free ends (e.g. circular); nucleic acid molecules that comprise DNA, RNA, or both; and other varieties of polynucleotides known in the art. One type of vector is a “plasmid,” which refers to a circular double stranded DNA loop into which additional DNA segments can be inserted, such as by standard molecular cloning techniques. Another type of vector is a viral vector, wherein virally-derived DNA or RNA sequences are present in the vector for packaging into a virus (e.g. retroviruses, replication defective retroviruses, adenoviruses, replication defective adenoviruses, and adeno-associated viruses (AAVs)). Viral vectors also include polynucleotides carried by a virus for transfection into a host cell. Certain vectors are capable of autonomous replication in a host cell into which they are introduced (e.g. bacterial vectors having a bacterial origin of replication and episomal mammalian vectors). Other vectors (e.g., non-episomal mammalian vectors) are integrated into the genome of a host cell upon introduction into the host cell, and thereby are replicated along with the host genome. Moreover, certain vectors are capable of directing the expression of genes to which they are operatively-linked. Such vectors are referred to herein as “expression vectors.” Common expression vectors of utility in recombinant DNA techniques are often in the form of plasmids.

Recombinant expression vectors can comprise a nucleic acid of the invention in a form suitable for expression of the nucleic acid in a host cell, which means that the recombinant expression vectors include one or more regulatory elements, which may be selected on the basis of the host cells to be used for expression, that is operatively-linked to the nucleic acid sequence to be expressed. Within a recombinant expression vector, “operably linked” is intended to mean that the nucleotide sequence of interest is linked to the regulatory element(s) in a manner that allows for expression of the nucleotide sequence (e.g. in an in vitro transcription/translation system or in a host cell when the vector is introduced into the host cell). With regards to recombination and cloning methods, mention is made of U.S. patent application Ser. No. 10/815,730, published Sep. 2, 2004 as US 2004-0171156 A1, the contents of which are herein incorporated by reference in their entirety.

The vector(s) can include the regulatory element(s), e.g., promoter(s). The vector(s) can comprise Cas encoding sequences, and/or a single, but possibly also can comprise at least 3 or 8 or 16 or 32 or 48 or 50 guide RNA(s) (e.g., sgRNAs) encoding sequences, such as 1-2, 1-3, 1-4 1-5, 3-6, 3-7, 3-8, 3-9, 3-10, 3-8, 3-16, 3-30, 3-32, 3-48, 3-50 RNA(s) (e.g., sgRNAs). In a single vector there can be a promoter for each RNA (e.g., sgRNA), advantageously when there are up to about 16 RNA(s) (e.g., sgRNAs); and, when a single vector provides for more than 16 RNA(s) (e.g., sgRNAs), one or more promoter(s) can drive expression of more than one of the RNA(s) (e.g., sgRNAs), e.g., when there are 32 RNA(s) (e.g., sgRNAs), each promoter can drive expression of two RNA(s) (e.g., sgRNAs), and when there are 48 RNA(s) (e.g., sgRNAs), each promoter can drive expression of three RNA(s) (e.g., sgRNAs). By simple arithmetic and well established cloning protocols and the teachings in this disclosure one skilled in the art can readily practice the invention as to the RNA(s) (e.g., sgRNA(s) for a suitable exemplary vector such as AAV, and a suitable promoter such as the U6 promoter, e.g., U6-sgRNAs. For example, the packaging limit of AAV is −4.7 kb. The length of a single U6-sgRNA (plus restriction sites for cloning) is 361 bp. Therefore, the skilled person can readily fit about 12-16, e.g., 13 U6-sgRNA cassettes in a single vector. This can be assembled by any suitable means, such as a golden gate strategy used for TALE assembly (http://www.genome-engineering.org/taleffectors/). The skilled person can also use a tandem guide strategy to increase the number of U6-sgRNAs by approximately 1.5 times, e.g., to increase from 12-16, e.g., 13 to approximately 18-24, e.g., about 19 U6-sgRNAs. Therefore, one skilled in the art can readily reach approximately 18-24, e.g., about 19 promoter-RNAs, e.g., U6-sgRNAs in a single vector, e.g., an AAV vector. A further means for increasing the number of promoters and RNAs, e.g., sgRNA(s) in a vector is to use a single promoter (e.g., U6) to express an array of RNAs, e.g., sgRNAs separated by cleavable sequences. And an even further means for increasing the number of promoter-RNAs, e.g., sgRNAs in a vector, is to express an array of promoter-RNAs, e.g., sgRNAs separated by cleavable sequences in the intron of a coding sequence or gene; and, in this instance it is advantageous to use a polymerase II promoter, which can have increased expression and enable the transcription of long RNA in a tissue specific manner. (see, e.g., nar.oxfordjournals.org/content/34/7/e53.short,www.nature.com/mt/journal/v16/n9/abs/mt2008144a.html). In an advantageous embodiment, AAV may package U6 tandem sgRNA targeting up to about 50 genes. Accordingly, from the knowledge in the art and the teachings in this disclosure the skilled person can readily make and use vector(s), e.g., a single vector, expressing multiple RNAs or guides or sgRNAs under the control or operatively or functionally linked to one or more promoters-especially as to the numbers of RNAs or guides or sgRNAs discussed herein, without any undue experimentation.

A poly nucleic acid sequence encoding the DNA targeting agent according to the invention as described herein, such as by means of example guide RNA(s), e.g., sgRNA(s) encoding sequences and/or Cas encoding sequences, can be functionally or operatively linked to regulatory element(s) and hence the regulatory element(s) drive expression. The promoter(s) can be constitutive promoter(s) and/or conditional promoter(s) and/or inducible promoter(s) and/or tissue specific promoter(s). The promoter can be selected from the group consisting of RNA polymerases, pol I, pol II, pol III, T7, U6, H1, retroviral Rous sarcoma virus (RSV) LTR promoter, the cytomegalovirus (CMV) promoter, the SV40 promoter, the dihydrofolate reductase promoter, the β-actin promoter, the phosphoglycerol kinase (PGK) promoter, and the EF1α promoter. An advantageous promoter is the promoter is U6.

Through this disclosure and the knowledge in the art, the DNA targeting agent as described herein, such as, TALEs, CRISPR-Cas systems, etc., or components thereof or nucleic acid molecules thereof (including, for instance HDR template) or nucleic acid molecules encoding or providing components thereof may be delivered by a delivery system herein described both generally and in detail.

Vector delivery, e.g., plasmid, viral delivery: By means of example, the CRISPR enzyme, for instance a Cas9, and/or any of the present RNAs, for instance a guide RNA, can be delivered using any suitable vector, e.g., plasmid or viral vectors, such as adeno associated virus (AAV), lentivirus, adenovirus or other viral vector types, or combinations thereof. The DNA targeting agent as described herein, such as Cas9 and one or more guide RNAs can be packaged into one or more vectors, e.g., plasmid or viral vectors. In some embodiments, the vector, e.g., plasmid or viral vector is delivered to the tissue of interest by, for example, an intramuscular injection, while other times the delivery is via intravenous, transdermal, intranasal, oral, mucosal, or other delivery methods. Such delivery may be either via a single dose, or multiple doses. One skilled in the art understands that the actual dosage to be delivered herein may vary greatly depending upon a variety of factors, such as the vector choice, the target cell, organism, or tissue, the general condition of the subject to be treated, the degree of transformation/modification sought, the administration route, the administration mode, the type of transformation/modification sought, etc.

Such a dosage may further contain, for example, a carrier (water, saline, ethanol, glycerol, lactose, sucrose, calcium phosphate, gelatin, dextran, agar, pectin, peanut oil, sesame oil, etc.), a diluent, a pharmaceutically-acceptable carrier (e.g., phosphate-buffered saline), a pharmaceutically-acceptable excipient, and/or other compounds known in the art. The dosage may further contain one or more pharmaceutically acceptable salts such as, for example, a mineral acid salt such as a hydrochloride, a hydrobromide, a phosphate, a sulfate, etc.; and the salts of organic acids such as acetates, propionates, malonates, benzoates, etc. Additionally, auxiliary substances, such as wetting or emulsifying agents, pH buffering substances, gels or gelling materials, flavorings, colorants, microspheres, polymers, suspension agents, etc. may also be present herein. In addition, one or more other conventional pharmaceutical ingredients, such as preservatives, humectants, suspending agents, surfactants, antioxidants, anticaking agents, fillers, chelating agents, coating agents, chemical stabilizers, etc. may also be present, especially if the dosage form is a reconstitutable form. Suitable exemplary ingredients include microcrystalline cellulose, carboxymethylcellulose sodium, polysorbate 80, phenylethyl alcohol, chlorobutanol, potassium sorbate, sorbic acid, sulfur dioxide, propyl gallate, the parabens, ethyl vanillin, glycerin, phenol, parachlorophenol, gelatin, albumin and a combination thereof. A thorough discussion of pharmaceutically acceptable excipients is available in REMINGTON'S PHARMACEUTICAL SCIENCES (Mack Pub. Co., N.J. 1991) which is incorporated by reference herein.

In an embodiment herein the delivery is via an adenovirus, which may be at a single booster dose containing at least 1×10⁵ particles (also referred to as particle units, pu) of adenoviral vector. In an embodiment herein, the dose preferably is at least about 1×10⁶ particles (for example, about 1×10⁶-1×10¹² particles), more preferably at least about 1×10⁷ particles, more preferably at least about 1×10⁸ particles (e.g., about 1×10⁸-1×10¹¹ particles or about 1×10⁸-1×10¹² particles), and most preferably at least about 1×10° particles (e.g., about 1×10⁹-1×10¹⁰ particles or about 1×10⁹-1×10¹² particles), or even at least about 1×10¹⁰ particles (e.g., about 1×10¹⁰-1×10¹² particles) of the adenoviral vector. Alternatively, the dose comprises no more than about 1×10¹⁴ particles, preferably no more than about 1×10¹³ particles, even more preferably no more than about 1×10¹² particles, even more preferably no more than about 1×10¹¹ particles, and most preferably no more than about 1×10¹⁰ particles (e.g., no more than about 1×10⁹ articles). Thus, the dose may contain a single dose of adenoviral vector with, for example, about 1×10⁶ particle units (pu), about 2×10⁶ pu, about 4×10⁶ pu, about 1×10⁷ pu, about 2×10⁷ pu, about 4×10⁷ pu, about 1×10⁸ pu, about 2×10⁸ pu, about 4×10⁸ pu, about 1×10⁹ pu, about 2×10⁹ pu, about 4×10⁹ pu, about 1×10¹⁰ pu, about 2×10¹⁰ pu, about 4×10¹⁰ pu, about 1×10¹¹ pu, about 2×10¹¹ pu, about 4×10¹¹ pu, about 1×10¹² pu, about 2×10¹² pu, or about 4×10¹² pu of adenoviral vector. See, for example, the adenoviral vectors in U.S. Pat. No. 8,454,972 B2 to Nabel, et. al., granted on Jun. 4, 2013; incorporated by reference herein, and the dosages at col 29, lines 36-58 thereof. In an embodiment herein, the adenovirus is delivered via multiple doses.

In an embodiment herein, the delivery is via an AAV. A therapeutically effective dosage for in vivo delivery of the AAV to a human is believed to be in the range of from about 20 to about 50 ml of saline solution containing from about 1×10¹⁰ to about 1×10¹⁰ functional AAV/ml solution. The dosage may be adjusted to balance the therapeutic benefit against any side effects. In an embodiment herein, the AAV dose is generally in the range of concentrations of from about 1×10⁵ to 1×10⁵⁰ genomes AAV, from about 1×10⁸ to 1×10²⁰ genomes AAV, from about 1×10¹⁰ to about 1×10¹⁶ genomes, or about 1×10¹¹ to about 1×10¹⁶ genomes AAV. A human dosage may be about 1×10¹³ genomes AAV. Such concentrations may be delivered in from about 0.001 ml to about 100 ml, about 0.05 to about 50 ml, or about 10 to about 25 ml of a carrier solution. Other effective dosages can be readily established by one of ordinary skill in the art through routine trials establishing dose response curves. See, for example, U.S. Pat. No. 8,404,658 B2 to Hajjar, et al., granted on Mar. 26, 2013, at col. 27, lines 45-60.

In an embodiment herein the delivery is via a plasmid. In such plasmid compositions, the dosage should be a sufficient amount of plasmid to elicit a response. For instance, suitable quantities of plasmid DNA in plasmid compositions can be from about 0.1 to about 2 mg, or from about 1 μg to about 10 μg per 70 kg individual. Plasmids of the invention will generally comprise (i) a promoter; (ii) a sequence encoding a DNA targeting agent as described herein, such as a comprising a CRISPR enzyme, operably linked to said promoter; (iii) a selectable marker; (iv) an origin of replication; and (v) a transcription terminator downstream of and operably linked to (ii). The plasmid can also encode the RNA components of a CRISPR complex, but one or more of these may instead be encoded on a different vector.

The doses herein are based on an average 70 kg individual. The frequency of administration is within the ambit of the medical or veterinary practitioner (e.g., physician, veterinarian), or scientist skilled in the art. It is also noted that mice used in experiments are typically about 20 g and from mice experiments one can scale up to a 70 kg individual.

In some embodiments the RNA molecules of the invention are delivered in liposome or lipofectin formulations and the like and can be prepared by methods well known to those skilled in the art. Such methods are described, for example, in U.S. Pat. Nos. 5,593,972, 5,589,466, and 5,580,859, which are herein incorporated by reference. Delivery systems aimed specifically at the enhanced and improved delivery of siRNA into mammalian cells have been developed, (see, for example, Shen et al FEBS Let. 2003, 539:111-114; Xia et al., Nat. Biotech. 2002, 20:1006-1010; Reich et al., Mol. Vision. 2003, 9: 210-216; Sorensen et al., J. Mol. Biol. 2003, 327: 761-766; Lewis et al., Nat. Gen. 2002, 32: 107-108 and Simeoni et al., NAR 2003, 31, 11: 2717-2724) and may be applied to the present invention. siRNA has recently been successfully used for inhibition of gene expression in primates (see for example. Tolentino et al., Retina 24(4):660 which may also be applied to the present invention.

Indeed, RNA delivery is a useful method of in vivo delivery. It is possible to deliver the DNA targeting agent as described herein, such as Cas9 and gRNA (and, for instance, HR repair template) into cells using liposomes or particles. Thus delivery of the CRISPR enzyme, such as a Cas9 and/or delivery of the RNAs of the invention may be in RNA form and via microvesicles, liposomes or particles. For example, Cas9 mRNA and gRNA can be packaged into liposomal particles for delivery in vivo. Liposomal transfection reagents such as lipofectamine from Life Technologies and other reagents on the market can effectively deliver RNA molecules into the liver.

Means of delivery of RNA also preferred include delivery of RNA via nanoparticles (Cho, S., Goldberg, M., Son, S., Xu, Q., Yang, F., Mei, Y., Bogatyrev, S., Langer, R. and Anderson, D., Lipid-like nanoparticles for small interfering RNA delivery to endothelial cells, Advanced Functional Materials, 19: 3112-3118, 2010) or exosomes (Schroeder, A., Levins, C., Cortez, C., Langer, R., and Anderson, D., Lipid-based nanotherapeutics for siRNA delivery, Journal of Internal Medicine, 267: 9-21, 2010, PMID: 20059641). Indeed, exosomes have been shown to be particularly useful in delivery siRNA, a system with some parallels to the CRISPR system. For instance, El-Andaloussi S, et al. (“Exosome-mediated delivery of siRNA in vitro and in vivo.” Nat Protoc. 2012 December; 7(12):2112-26. doi: 10.1038/nprot.2012.131. Epub 2012 Nov. 15) describe how exosomes are promising tools for drug delivery across different biological barriers and can be harnessed for delivery of siRNA in vitro and in vivo. Their approach is to generate targeted exosomes through transfection of an expression vector, comprising an exosomal protein fused with a peptide ligand. The exosomes are then purify and characterized from transfected cell supernatant, then RNA is loaded into the exosomes. Delivery or administration according to the invention can be performed with exosomes, in particular but not limited to the brain. Vitamin E (α-tocopherol) may be conjugated with CRISPR Cas and delivered to the brain along with high density lipoprotein (HDL), for example in a similar manner as was done by Uno et al. (HUMAN GENE THERAPY 22:711-719 (June 2011)) for delivering short-interfering RNA (siRNA) to the brain. Mice were infused via Osmotic minipumps (model 1007D; Alzet, Cupertino, Calif.) filled with phosphate-buffered saline (PBS) or free TocsiBACE or Toc-siBACE/HDL and connected with Brain Infusion Kit 3 (Alzet). A brain-infusion cannula was placed about 0.5 mm posterior to the bregma at midline for infusion into the dorsal third ventricle. Uno et al. found that as little as 3 nmol of Toc-siRNA with HDL could induce a target reduction in comparable degree by the same ICV infusion method. A similar dosage of CRISPR Cas conjugated to α-tocopherol and co-administered with HDL targeted to the brain may be contemplated for humans in the present invention, for example, about 3 nmol to about 3 μmol of CRISPR Cas targeted to the brain may be contemplated. Zou et al. ((HUMAN GENE THERAPY 22:465-475 (April 2011)) describes a method of lentiviral-mediated delivery of short-hairpin RNAs targeting PKCγ for in vivo gene silencing in the spinal cord of rats. Zou et al. administered about 10 μl of a recombinant lentivirus having a titer of 1×10⁹ transducing units (TU)/ml by an intrathecal catheter. A similar dosage of CRISPR Cas expressed in a lentiviral vector targeted to the brain may be contemplated for humans in the present invention, for example, about 10-50 ml of CRISPR Cas targeted to the brain in a lentivirus having a titer of 1×10⁹ transducing units (TU)/ml may be contemplated.

In terms of local delivery to the brain, this can be achieved in various ways. For instance, material can be delivered intrastriatally e.g. by injection. Injection can be performed stereotactically via a craniotomy.

Enhancing NHEJ or HR efficiency is also helpful for delivery. It is preferred that NHEJ efficiency is enhanced by co-expressing end-processing enzymes such as Trex2 (Dumitrache et al. Genetics. 2011 August; 188(4): 787-797). It is preferred that HR efficiency is increased by transiently inhibiting NHEJ machineries such as Ku70 and Ku86. HR efficiency can also be increased by co-expressing prokaryotic or eukaryotic homologous recombination enzymes such as RecBCD, RecA.

Packaging and Promoters Generally

Ways to package nucleic acid molecules, in particular the DNA targeting agent according to the invention as described herein, such as Cas9 coding nucleic acid molecules, e.g., DNA, into vectors, e.g., viral vectors, to mediate genome modification in vivo include:

To achieve NHEJ-mediated gene knockout:

-   -   Single virus vector:         -   Vector containing two or more expression cassettes:         -   Promoter-Cas9 coding nucleic acid molecule-terminator         -   Prom oter-gRNA1-terminator         -   Promoter-gRNA2-terminator         -   Promoter-gRNA(N)-terminator (up to size limit of vector)     -   Double virus vector:         -   Vector 1 containing one expression cassette for driving the             expression of Cas9         -   Promoter-Cas9 coding nucleic acid molecule-terminator         -   Vector 2 containing one more expression cassettes for             driving the expression of one or more guideRNAs         -   Prom oter-gRNA1-terminator         -   Promoter-gRNA(N)-terminator (up to size limit of vector)

To mediate homology-directed repair.

-   -   In addition to the single and double virus vector approaches         described above, an additional vector is used to deliver a         homology-direct repair template.

The promoter used to drive Cas9 coding nucleic acid molecule expression can include:

AAV ITR can serve as a promoter: this is advantageous for eliminating the need for an additional promoter element (which can take up space in the vector). The additional space freed up can be used to drive the expression of additional elements (gRNA, etc.). Also, ITR activity is relatively weaker, so can be used to reduce potential toxicity due to over expression of Cas9.

For ubiquitous expression, can use promoters: CMV, CAG, CBh, PGK, SV40, Ferritin heavy or light chains, etc.

For brain or other CNS expression, can use promoters: SynapsinI for all neurons, CaMKIIalpha for excitatory neurons, GAD67 or GAD65 or VGAT for GABAergic neurons, etc.

For liver expression, can use Albumin promoter.

For lung expression, can use SP-B.

For endothelial cells, can use ICAM.

For hematopoietic cells can use IFNbeta or CD45.

For Osteoblasts can use OG-2.

The promoter used to drive guide RNA can include:

Pol III promoters such as U6 or H1

Use of Pol II promoter and intronic cassettes to express gRNA

Adeno Associated Virus (AAV)

The DNA targeting agent according to the invention as described herein, such as by means of example Cas9 and one or more guide RNA can be delivered using adeno associated virus (AAV), lentivirus, adenovirus or other plasmid or viral vector types, in particular, using formulations and doses from, for example, U.S. Pat. No. 8,454,972 (formulations, doses for adenovirus), U.S. Pat. No. 8,404,658 (formulations, doses for AAV) and U.S. Pat. No. 5,846,946 (formulations, doses for DNA plasmids) and from clinical trials and publications regarding the clinical trials involving lentivirus, AAV and adenovirus. For examples, for AAV, the route of administration, formulation and dose can be as in U.S. Pat. No. 8,454,972 and as in clinical trials involving AAV. For Adenovirus, the route of administration, formulation and dose can be as in U.S. Pat. No. 8,404,658 and as in clinical trials involving adenovirus. For plasmid delivery, the route of administration, formulation and dose can be as in U.S. Pat. No. 5,846,946 and as in clinical studies involving plasmids. Doses may be based on or extrapolated to an average 70 kg individual (e.g. a male adult human), and can be adjusted for patients, subjects, mammals of different weight and species. Frequency of administration is within the ambit of the medical or veterinary practitioner (e.g., physician, veterinarian), depending on usual factors including the age, sex, general health, other conditions of the patient or subject and the particular condition or symptoms being addressed. The viral vectors can be injected into the tissue of interest. For cell-type specific genome modification, the expression of the DNA targeting agent according to the invention as described herein, such as by means of example Cas9 can be driven by a cell-type specific promoter. For example, liver-specific expression might use the Albumin promoter and neuron-specific expression (e.g. for targeting CNS disorders) might use the Synapsin I promoter.

In terms of in vivo delivery, AAV is advantageous over other viral vectors for a couple of reasons:

-   -   Low toxicity (this may be due to the purification method not         requiring ultra centrifugation of cell particles that can         activate the immune response)     -   Low probability of causing insertional mutagenesis because it         doesn't integrate into the host genome.

AAV has a packaging limit of 4.5 or 4.75 Kb. This means that for instance Cas9 as well as a promoter and transcription terminator have to be all fit into the same viral vector. Constructs larger than 4.5 or 4.75 Kb will lead to significantly reduced virus production. SpCas9 is quite large, the gene itself is over 4.1 Kb, which makes it difficult for packing into AAV. Therefore embodiments of the invention include utilizing homologs of Cas9 that are shorter. For example:

Species Cas9 Size Corynebacter diphtheriae 3252 Eubacterium ventriosum 3321 Streptococcus pasteurianus 3390 Lactobacillus farciminis 3378 Sphaerochaeta globus 3537 Azospirillum B510 3504 Gluconacetobacter diazotrophicus 3150 Neisseria cinerea 3246 Roseburia intestinalis 3420 Parvibaculum lavamentivorans 3111 Staphylococcus aureus 3159 Nitratifractor salsuginis DSM 16511 3396 Campylobacter lari CF 89-12 3009 Streptococcus thermophilus LMD-9 3396

These species are therefore, in general, preferred Cas9 species.

As to AAV, the AAV can be AAV1, AAV2, AAV5 or any combination thereof. One can select the AAV of the AAV with regard to the cells to be targeted; e.g., one can select AAV serotypes 1, 2, 5 or a hybrid capsid AAV1, AAV2, AAV5 or any combination thereof for targeting brain or neuronal cells; and one can select AAV4 for targeting cardiac tissue. AAV8 is useful for delivery to the liver. The herein promoters and vectors are preferred individually. A tabulation of certain AAV serotypes as to these cells (see Grimm, D. et al, J. Virol. 82: 5887-5911 (2008)) is as follows:

Cell Line AAV-1 AAV-2 AAV-3 AAV-4 AAV-5 AAV-6 AAV-8 AAV-9 Huh-7 13 100 2.5 0.0 0.1 10 0.7 0.0 HEK293 25 100 2.5 0.1 0.1 5 0.7 0.1 HeLa 3 100 2.0 0.1 6.7 1 0.2 0.1 HepG2 3 100 16.7 0.3 1.7 5 0.3 ND Hep1A 20 100 0.2 1.0 0.1 1 0.2 0.0 911 17 100 11 0.2 0.1 17 0.1 ND CHO 100 100 14 1.4 333 50 10 1.0 COS 33 100 33 3.3 5.0 14 2.0 0.5 MeWo 10 100 20 0.3 6.7 10 1.0 0.2 NIH3T3 10 100 2.9 2.9 0.3 10 0.3 ND A549 14 100 20 ND 0.5 10 0.5 0.1 HT1180 20 100 10 0.1 0.3 33 0.5 0.1 Monocytes 1111 100 ND ND 125 1429 ND ND Immature DC 2500 100 ND ND 222 2857 ND ND Mature DC 2222 100 ND ND 333 3333 ND ND

Lentivirus

Lentiviruses are complex retroviruses that have the ability to infect and express their genes in both mitotic and post-mitotic cells. The most commonly known lentivirus is the human immunodeficiency virus (HIV), which uses the envelope glycoproteins of other viruses to target a broad range of cell types.

Lentiviruses may be prepared as follows, by means of example for Cas delivery. After cloning pCasES10 (which contains a lentiviral transfer plasmid backbone), HEK293FT at low passage (p=5) were seeded in a T-75 flask to 50% confluence the day before transfection in DMEM with 10% fetal bovine serum and without antibiotics. After 20 hours, media was changed to OptiMEM (serum-free) media and transfection was done 4 hours later. Cells were transfected with 10 μg of lentiviral transfer plasmid (pCasES10) and the following packaging plasmids: 5 of pMD2.G (VSV-g pseudotype), and 7.5 ug of psPAX2 (gag/pol/rev/tat). Transfection was done in 4 mL OptiMEM with a cationic lipid delivery agent (50 uL Lipofectamine 2000 and 100 ul Plus reagent). After 6 hours, the media was changed to antibiotic-free DMEM with 10% fetal bovine serum. These methods use serum during cell culture, but serum-free methods are preferred.

Lentivirus may be purified as follows. Viral supernatants were harvested after 48 hours. Supernatants were first cleared of debris and filtered through a 0.45 um low protein binding (PVDF) filter. They were then spun in a ultracentrifuge for 2 hours at 24,000 rpm. Viral pellets were resuspended in 50 ul of DMEM overnight at 4 C. They were then aliquotted and immediately frozen at −80° C.

In another embodiment, minimal non-primate lentiviral vectors based on the equine infectious anemia virus (EIAV) are also contemplated, especially for ocular gene therapy (see, e.g., Balagaan, J Gene Med 2006; 8: 275-285). In another embodiment, RetinoStat®, an equine infectious anemia virus-based lentiviral gene therapy vector that expresses angiostatic proteins endostatin and angiostatin that is delivered via a subretinal injection for the treatment of the web form of age-related macular degeneration is also contemplated (see, e.g., Binley et al., HUMAN GENE THERAPY 23:980-991 (September 2012)) and this vector may be modified for the CRISPR-Cas system of the present invention.

In another embodiment, self-inactivating lentiviral vectors with an siRNA targeting a common exon shared by HIV tat/rev, a nucleolar-localizing TAR decoy, and an anti-CCR5-specific hammerhead ribozyme (see, e.g., DiGiusto et al. (2010) Sci Transl Med 2:36ra43) may be used/and or adapted to the CRISPR-Cas system of the present invention. A minimum of 2.5×10⁶ CD34+ cells per kilogram patient weight may be collected and prestimulated for 16 to 20 hours in X-VIVO 15 medium (Lonza) containing 2 μmol/L-glutamine, stem cell factor (100 ng/ml), Flt-3 ligand (Flt-3L) (100 ng/ml), and thrombopoietin (10 ng/ml) (CellGenix) at a density of 2×10⁶ cells/ml. Prestimulated cells may be transduced with lentiviral at a multiplicity of infection of 5 for 16 to 24 hours in 75-cm² tissue culture flasks coated with fibronectin (25 mg/cm²) (RetroNectin,Takara Bio Inc.).

Lentiviral vectors have been disclosed as in the treatment for Parkinson's Disease, see, e.g., US Patent Publication No. 20120295960 and U.S. Pat. Nos. 7,303,910 and 7,351,585. Lentiviral vectors have also been disclosed for the treatment of ocular diseases, see e.g., US Patent Publication Nos. 20060281180, 20090007284, US20110117189; US20090017543; US20070054961, US20100317109. Lentiviral vectors have also been disclosed for delivery to the brain, see, e.g., US Patent Publication Nos. US20110293571; US20110293571, US20040013648, US20070025970, US20090111106 and U.S. Pat. No. 7,259,015.

RNA Delivery

RNA delivery: The DNA targeting agent according to the invention as described herein, such as the CRISPR enzyme, for instance a Cas9, and/or any of the present RNAs, for instance a guide RNA, can also be delivered in the form of RNA. Cas9 mRNA can be generated using in vitro transcription. For example, Cas9 mRNA can be synthesized using a PCR cassette containing the following elements: T7_promoter-kozak sequence (GCCACC)-Cas9-3′ UTR from beta globin-polyA tail (a string of 120 or more adenines). The cassette can be used for transcription by T7 polymerase. Guide RNAs can also be transcribed using in vitro transcription from a cassette containing T7_promoter-GG-guide RNA sequence.

To enhance expression and reduce possible toxicity, the CRISPR enzyme-coding sequence and/or the guide RNA can be modified to include one or more modified nucleoside e.g. using pseudo-U or 5-Methyl-C.

mRNA delivery methods are especially promising for liver delivery currently.

Much clinical work on RNA delivery has focused on RNAi or antisense, but these systems can be adapted for delivery of RNA for implementing the present invention. References below to RNAi etc. should be read accordingly.

Particle Delivery Systems and/or Formulations:

Several types of particle delivery systems and/or formulations are known to be useful in a diverse spectrum of biomedical applications. In general, a particle is defined as a small object that behaves as a whole unit with respect to its transport and properties. Particles are further classified according to diameter Coarse particles cover a range between 2,500 and 10,000 nanometers. Fine particles are sized between 100 and 2,500 nanometers. Ultrafine particles, or nanoparticles, are generally between 1 and 100 nanometers in size. The basis of the 100-nm limit is the fact that novel properties that differentiate particles from the bulk material typically develop at a critical length scale of under 100 nm.

As used herein, a particle delivery system/formulation is defined as any biological delivery system/formulation which includes a particle in accordance with the present invention. A particle in accordance with the present invention is any entity having a greatest dimension (e.g. diameter) of less than 100 microns (μm). In some embodiments, inventive particles have a greatest dimension of less than 10 μm. In some embodiments, inventive particles have a greatest dimension of less than 2000 nanometers (nm). In some embodiments, inventive particles have a greatest dimension of less than 1000 nanometers (nm). In some embodiments, inventive particles have a greatest dimension of less than 900 nm, 800 nm, 700 nm, 600 nm, 500 nm, 400 nm, 300 nm, 200 nm, or 100 nm. Typically, inventive particles have a greatest dimension (e.g., diameter) of 500 nm or less. In some embodiments, inventive particles have a greatest dimension (e.g., diameter) of 250 nm or less. In some embodiments, inventive particles have a greatest dimension (e.g., diameter) of 200 nm or less. In some embodiments, inventive particles have a greatest dimension (e.g., diameter) of 150 nm or less. In some embodiments, inventive particles have a greatest dimension (e.g., diameter) of 100 nm or less. Smaller particles, e.g., having a greatest dimension of 50 nm or less are used in some embodiments of the invention. In some embodiments, inventive particles have a greatest dimension ranging between 25 nm and 200 nm.

Particle characterization (including e.g., characterizing morphology, dimension, etc.) is done using a variety of different techniques. Common techniques are electron microscopy (TEM, SEM), atomic force microscopy (AFM), dynamic light scattering (DLS), X-ray photoelectron spectroscopy (XPS), powder X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF), ultraviolet-visible spectroscopy, dual polarisation interferometry and nuclear magnetic resonance (NMR). Characterization (dimension measurements) may be made as to native particles (i.e., preloading) or after loading of the cargo (herein cargo refers to e.g., one or more components of for instance CRISPR-Cas system e.g., CRISPR enzyme or mRNA or guide RNA, or any combination thereof, and may include additional carriers and/or excipients) to provide particles of an optimal size for delivery for any in vitro, ex vivo and/or in vivo application of the present invention. In certain preferred embodiments, particle dimension (e.g., diameter) characterization is based on measurements using dynamic laser scattering (DLS). Mention is made of U.S. Pat. Nos. 8,709,843; 6,007,845; 5,855,913; 5,985,309; 5,543,158; and the publication by James E.

Dahlman and Carmen Barnes et al. Nature Nanotechnology (2014) published online 11 May 2014, doi:10.1038/nnano.2014.84, concerning particles, methods of making and using them and measurements thereof.

Particles delivery systems within the scope of the present invention may be provided in any form, including but not limited to solid, semi-solid, emulsion, or colloidal particles. As such any of the delivery systems described herein, including but not limited to, e.g., lipid-based systems, liposomes, micelles, microvesicles, exosomes, or gene gun may be provided as particle delivery systems within the scope of the present invention.

Particles

The DNA targeting agent according to the invention as described herein, such as by means of example CRISPR enzyme mRNA and guide RNA may be delivered simultaneously using particles or lipid envelopes; for instance, CRISPR enzyme and RNA of the invention, e.g., as a complex, can be delivered via a particle as in Dahlman et al., WO2015089419 A2 and documents cited therein, such as 7C1 (see, e.g., James E. Dahlman and Carmen Barnes et al. Nature Nanotechnology (2014) published online 11 May 2014, doi:10.1038/nnano.2014.84), e.g., delivery particle comprising lipid or lipidoid and hydrophilic polymer, e.g., cationic lipid and hydrophilic polymer, for instance wherein the the cationic lipid comprises 1,2-dioleoyl-3-trimethylammonium-propane (DOTAP) or 1,2-ditetradecanoyl-sn-glycero-3-phosphocholine (DMPC) and/or wherein the hydrophilic polymer comprises ethylene glycol or polyethylene glycol (PEG); and/or wherein the particle further comprises cholesterol (e.g., particle from formulation 1=DOTAP 100, DMPC 0, PEG 0, Cholesterol 0; formulation number 2=DOTAP 90, DMPC 0, PEG 10, Cholesterol 0; formulation number 3=DOTAP 90, DMPC 0, PEG 5, Cholesterol 5), wherein particles are formed using an efficient, multistep process wherein first, effector protein and RNA are mixed together, e.g., at a 1:1 molar ratio, e.g., at room temperature, e.g., for 30 minutes, e.g., in sterile, nuclease free 1×PBS; and separately, DOTAP, DMPC, PEG, and cholesterol as applicable for the formulation are dissolved in alcohol, e.g., 100% ethanol; and, the two solutions are mixed together to form particles containing the complexes).

For example, Su X, Fricke J, Kavanagh D G, Irvine D J (“In vitro and in vivo mRNA delivery using lipid-enveloped pH-responsive polymer nanoparticles” Mol Pharm. 2011 Jun. 6; 8(3):774-87. doi: 10.1021/mp100390w. Epub 2011 Apr. 1) describes biodegradable core-shell structured particles with a poly(β-amino ester) (PBAE) core enveloped by a phospholipid bilayer shell. These were developed for in vivo mRNA delivery. The pH-responsive PBAE component was chosen to promote endosome disruption, while the lipid surface layer was selected to minimize toxicity of the polycation core. Such are, therefore, preferred for delivering RNA of the present invention.

In one embodiment, particles based on self assembling bioadhesive polymers are contemplated, which may be applied to oral delivery of peptides, intravenous delivery of peptides and nasal delivery of peptides, all to the brain. Other embodiments, such as oral absorption and ocular delivery of hydrophobic drugs are also contemplated. The molecular envelope technology involves an engineered polymer envelope which is protected and delivered to the site of the disease (see, e.g., Mazza, M. et al. ACSNano, 2013. 7(2): 1016-1026; Siew, A., et al. Mol Pharm, 2012. 9(1):14-28; Lalatsa, A., et al. J Contr Rel, 2012. 161(2):523-36; Lalatsa, A., et al., Mol Pharm, 2012. 9(6):1665-80; Lalatsa, A., et al. Mol Pharm, 2012. 9(6):1764-74; Garrett, N. L., et al. J Biophotonics, 2012. 5(5-6):458-68; Garrett, N. L., et al. J Raman Spect, 2012. 43(5):681-688; Ahmad, S., et al. J Royal Soc Interface 2010. 7:S423-33; Uchegbu, I. F. Expert Opin Drug Deliv, 2006. 3(5):629-40; Qu, X., et al. Biomacromolecules, 2006. 7(12):3452-9 and Uchegbu, I. F., et al. Int J Pharm, 2001. 224:185-199). Doses of about 5 mg/kg are contemplated, with single or multiple doses, depending on the target tissue.

In one embodiment, particles that can deliver DNA targeting agents according to the invention as described herein, such as RNA to a cancer cell to stop tumor growth developed by Dan Anderson's lab at MIT may be used/and or adapted to the CRISPR Cas system according to certain embodiments of the present invention. In particular, the Anderson lab developed fully automated, combinatorial systems for the synthesis, purification, characterization, and formulation of new biomaterials and nanoformulations. See, e.g., Alabi et al., Proc Natl Acad Sci USA. 2013 Aug. 6; 110(32):12881-6; Zhang et al., Adv Mater. 2013 Sep. 6; 25(33):4641-5; Jiang et al., Nano Lett. 2013 Mar. 13; 13(3):1059-64; Karagiannis et al., ACS Nano. 2012 Oct. 23; 6(10):8484-7; Whitehead et al., ACS Nano. 2012 Aug. 28; 6(8):6922-9 and Lee et al., Nat Nanotechnol. 2012 Jun. 3; 7(6):389-93.

US patent application 20110293703 relates to lipidoid compounds are also particularly useful in the administration of polynucleotides, which may be applied to deliver the DNA targeting agent according to the invention, such as for instance the CRISPR Cas system according to certain embodiments of the present invention. In one aspect, the aminoalcohol lipidoid compounds are combined with an agent to be delivered to a cell or a subject to form microparticles, particles, liposomes, or micelles. The agent to be delivered by the particles, liposomes, or micelles may be in the form of a gas, liquid, or solid, and the agent may be a polynucleotide, protein, peptide, or small molecule. The minoalcohol lipidoid compounds may be combined with other aminoalcohol lipidoid compounds, polymers (synthetic or natural), surfactants, cholesterol, carbohydrates, proteins, lipids, etc. to form the particles. These particles may then optionally be combined with a pharmaceutical excipient to form a pharmaceutical composition.

US Patent Publication No. 20110293703 also provides methods of preparing the aminoalcohol lipidoid compounds. One or more equivalents of an amine are allowed to react with one or more equivalents of an epoxide-terminated compound under suitable conditions to form an aminoalcohol lipidoid compound of the present invention. In certain embodiments, all the amino groups of the amine are fully reacted with the epoxide-terminated compound to form tertiary amines. In other embodiments, all the amino groups of the amine are not fully reacted with the epoxide-terminated compound to form tertiary amines thereby resulting in primary or secondary amines in the aminoalcohol lipidoid compound. These primary or secondary amines are left as is or may be reacted with another electrophile such as a different epoxide-terminated compound. As will be appreciated by one skilled in the art, reacting an amine with less than excess of epoxide-terminated compound will result in a plurality of different aminoalcohol lipidoid compounds with various numbers of tails. Certain amines may be fully functionalized with two epoxide-derived compound tails while other molecules will not be completely functionalized with epoxide-derived compound tails. For example, a diamine or polyamine may include one, two, three, or four epoxide-derived compound tails off the various amino moieties of the molecule resulting in primary, secondary, and tertiary amines. In certain embodiments, all the amino groups are not fully functionalized. In certain embodiments, two of the same types of epoxide-terminated compounds are used. In other embodiments, two or more different epoxide-terminated compounds are used. The synthesis of the aminoalcohol lipidoid compounds is performed with or without solvent, and the synthesis may be performed at higher temperatures ranging from 30-100° C., preferably at approximately 50-90° C. The prepared aminoalcohol lipidoid compounds may be optionally purified. For example, the mixture of aminoalcohol lipidoid compounds may be purified to yield an aminoalcohol lipidoid compound with a particular number of epoxide-derived compound tails. Or the mixture may be purified to yield a particular stereo- or regioisomer. The aminoalcohol lipidoid compounds may also be alkylated using an alkyl halide (e.g., methyl iodide) or other alkylating agent, and/or they may be acylated.

US Patent Publication No. 20110293703 also provides libraries of aminoalcohol lipidoid compounds prepared by the inventive methods. These aminoalcohol lipidoid compounds may be prepared and/or screened using high-throughput techniques involving liquid handlers, robots, microtiter plates, computers, etc. In certain embodiments, the aminoalcohol lipidoid compounds are screened for their ability to transfect polynucleotides or other agents (e.g., proteins, peptides, small molecules) into the cell.

US Patent Publication No. 20130302401 relates to a class of poly(beta-amino alcohols) (PBAAs) has been prepared using combinatorial polymerization. The inventive PBAAs may be used in biotechnology and biomedical applications as coatings (such as coatings of films or multilayer films for medical devices or implants), additives, materials, excipients, non-biofouling agents, micropatterning agents, and cellular encapsulation agents. When used as surface coatings, these PBAAs elicited different levels of inflammation, both in vitro and in vivo, depending on their chemical structures. The large chemical diversity of this class of materials allowed us to identify polymer coatings that inhibit macrophage activation in vitro. Furthermore, these coatings reduce the recruitment of inflammatory cells, and reduce fibrosis, following the subcutaneous implantation of carboxylated polystyrene microparticles. These polymers may be used to form polyelectrolyte complex capsules for cell encapsulation. The invention may also have many other biological applications such as antimicrobial coatings, DNA or siRNA delivery, and stem cell tissue engineering. The teachings of US Patent Publication No. 20130302401 may be applied to the DNA targeting agent according to the invention, such as for instance the CRISPR Cas system according to certain embodiments of the present invention.

In another embodiment, lipid particles (LNPs) are contemplated. An antitransthyretin small interfering RNA has been encapsulated in lipid particles and delivered to humans (see, e.g., Coelho et al., N Engl J Med 2013; 369:819-29), and such a system may be adapted and applied to the CRISPR Cas system of the present invention. Doses of about 0.01 to about 1 mg per kg of body weight administered intravenously are contemplated. Medications to reduce the risk of infusion-related reactions are contemplated, such as dexamethasone, acetampinophen, diphenhydramine or cetirizine, and ranitidine are contemplated. Multiple doses of about 0.3 mg per kilogram every 4 weeks for five doses are also contemplated.

LNPs have been shown to be highly effective in delivering siRNAs to the liver (see, e.g., Tabernero et al., Cancer Discovery, April 2013, Vol. 3, No. 4, pages 363-470) and are therefore contemplated for delivering RNA encoding CRISPR Cas to the liver. A dosage of about four doses of 6 mg/kg of the LNP every two weeks may be contemplated. Tabernero et al. demonstrated that tumor regression was observed after the first 2 cycles of LNPs dosed at 0.7 mg/kg, and by the end of 6 cycles the patient had achieved a partial response with complete regression of the lymph node metastasis and substantial shrinkage of the liver tumors. A complete response was obtained after 40 doses in this patient, who has remained in remission and completed treatment after receiving doses over 26 months. Two patients with RCC and extrahepatic sites of disease including kidney, lung, and lymph nodes that were progressing following prior therapy with VEGF pathway inhibitors had stable disease at all sites for approximately 8 to 12 months, and a patient with PNET and liver metastases continued on the extension study for 18 months (36 doses) with stable disease.

However, the charge of the LNP must be taken into consideration. As cationic lipids combined with negatively charged lipids to induce nonbilayer structures that facilitate intracellular delivery. Because charged LNPs are rapidly cleared from circulation following intravenous injection, ionizable cationic lipids with pKa values below 7 were developed (see, e.g., Rosin et al, Molecular Therapy, vol. 19, no. 12, pages 1286-2200, December 2011). Negatively charged polymers such as RNA may be loaded into LNPs at low pH values (e.g., pH 4) where the ionizable lipids display a positive charge. However, at physiological pH values, the LNPs exhibit a low surface charge compatible with longer circulation times. Four species of ionizable cationic lipids have been focused upon, namely 1,2-dilineoyl-3-dimethylammonium-propane (DLinDAP), 1,2-dilinoleyloxy-3-N,N-dimethylaminopropane (DLinDMA), 1,2-dilinoleyloxy-keto-N,N-dimethyl-3-aminopropane (DLinKDMA), and 1,2-dilinoleyl-4-(2-dimethylaminoethyl)-[1,3]-dioxolane (DLinKC2-DMA). It has been shown that LNP siRNA systems containing these lipids exhibit remarkably different gene silencing properties in hepatocytes in vivo, with potencies varying according to the series DLinKC2-DMA>DLinKDMA>DLinDMA>>DLinDAP employing a Factor VII gene silencing model (see, e.g., Rosin et al, Molecular Therapy, vol. 19, no. 12, pages 1286-2200, December 2011). A dosage of 1 μg/ml of LNP or by means of example CRISPR-Cas RNA in or associated with the LNP may be contemplated, especially for a formulation containing DLinKC2-DMA.

Preparation of LNPs and the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas encapsulation may be used/and or adapted from Rosin et al, Molecular Therapy, vol. 19, no. 12, pages 1286-2200, December 2011). The cationic lipids 1,2-dilineoyl-3-dimethylammonium-propane (DLinDAP), 1,2-dilinoleyloxy-3-N,N-dimethylaminopropane (DLinDMA), 1,2-dilinoleyloxyketo-N,N-dimethyl-3-aminopropane (DLinK-DMA), 1,2-dilinoleyl-4-(2-dimethylaminoethyl)-[1,3]-dioxolane (DLinKC2-DMA), (3-o-[2″-(methoxypolyethyleneglycol 2000) succinoyl]-1,2-dimyristoyl-sn-glycol (PEG-S-DMG), and R-3-[(ω-methoxy-poly(ethylene glycol)2000) carbamoyl]-1,2-dimyristyloxlpropyl-3-amine (PEG-C-DOMG) may be provided by Tekmira Pharmaceuticals (Vancouver, Canada) or synthesized. Cholesterol may be purchased from Sigma (St Louis, Mo.). The specific CRISPR Cas RNA may be encapsulated in LNPs containing DLinDAP, DLinDMA, DLinK-DMA, and DLinKC2-DMA (cationic lipid:DSPC:CHOL:PEGS-DMG or PEG-C-DOMG at 40:10:40:10 molar ratios). When required, 0.2% SP-DiOC18 (Invitrogen, Burlington, Canada) may be incorporated to assess cellular uptake, intracellular delivery, and biodistribution. Encapsulation may be performed by dissolving lipid mixtures comprised of cationic lipid:DSPC:cholesterol:PEG-c-DOMG (40:10:40:10 molar ratio) in ethanol to a final lipid concentration of 10 mmol/1. This ethanol solution of lipid may be added drop-wise to 50 mmol/1 citrate, pH 4.0 to form multilamellar vesicles to produce a final concentration of 30% ethanol vol/vol. Large unilamellar vesicles may be formed following extrusion of multilamellar vesicles through two stacked 80 nm Nuclepore polycarbonate filters using the Extruder (Northern Lipids, Vancouver, Canada). Encapsulation may be achieved by adding RNA dissolved at 2 mg/ml in 50 mmol/l citrate, pH 4.0 containing 30% ethanol vol/vol drop-wise to extruded preformed large unilamellar vesicles and incubation at 31° C. for 30 minutes with constant mixing to a final RNA/lipid weight ratio of 0.06/1 wt/wt. Removal of ethanol and neutralization of formulation buffer were performed by dialysis against phosphate-buffered saline (PBS), pH 7.4 for 16 hours using Spectra/Por 2 regenerated cellulose dialysis membranes. Particle size distribution may be determined by dynamic light scattering using a NICOMP 370 particle sizer, the vesicle/intensity modes, and Gaussian fitting (Nicomp Particle Sizing, Santa Barbara, Calif.). The particle size for all three LNP systems may be ˜70 nm in diameter. RNA encapsulation efficiency may be determined by removal of free RNA using VivaPureD MiniH columns (Sartorius Stedim Biotech) from samples collected before and after dialysis. The encapsulated RNA may be extracted from the eluted particles and quantified at 260 nm. RNA to lipid ratio was determined by measurement of cholesterol content in vesicles using the Cholesterol E enzymatic assay from Wako Chemicals USA (Richmond, Va.). In conjunction with the herein discussion of LNPs and PEG lipids, PEGylated liposomes or LNPs are likewise suitable for delivery of a CRISPR-Cas system or components thereof.

Preparation of large LNPs may be used/and or adapted from Rosin et al, Molecular Therapy, vol. 19, no. 12, pages 1286-2200, December 2011. A lipid premix solution (20.4 mg/ml total lipid concentration) may be prepared in ethanol containing DLinKC2-DMA, DSPC, and cholesterol at 50:10:38.5 molar ratios. Sodium acetate may be added to the lipid premix at a molar ratio of 0.75:1 (sodium acetate:DLinKC2-DMA). The lipids may be subsequently hydrated by combining the mixture with 1.85 volumes of citrate buffer (10 mmol/l, pH 3.0) with vigorous stirring, resulting in spontaneous liposome formation in aqueous buffer containing 35% ethanol. The liposome solution may be incubated at 37° C. to allow for time-dependent increase in particle size. Aliquots may be removed at various times during incubation to investigate changes in liposome size by dynamic light scattering (Zetasizer Nano ZS, Malvern Instruments, Worcestershire, UK). Once the desired particle size is achieved, an aqueous PEG lipid solution (stock=10 mg/ml PEG-DMG in 35% (vol/vol) ethanol) may be added to the liposome mixture to yield a final PEG molar concentration of 3.5% of total lipid. Upon addition of PEG-lipids, the liposomes should their size, effectively quenching further growth. RNA may then be added to the empty liposomes at an RNA to total lipid ratio of approximately 1:10 (wt:wt), followed by incubation for 30 minutes at 37° C. to form loaded LNPs. The mixture may be subsequently dialyzed overnight in PBS and filtered with a 0.45-μm syringe filter.

Spherical Nucleic Acid (SNA™) constructs and other particles (particularly gold particles) are also contemplated as a means to deliver the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR-Cas system to intended targets. Significant data show that AuraSense Therapeutics' Spherical Nucleic Acid (SNA™) constructs, based upon nucleic acid-functionalized gold particles, are useful.

Literature that may be employed in conjunction with herein teachings include: Cutler et al., J. Am. Chem. Soc. 2011 133:9254-9257, Hao et al., Small. 2011 7:3158-3162, Zhang et al., ACS Nano. 2011 5:6962-6970, Cutler et al., J. Am. Chem. Soc. 2012 134:1376-1391, Young et al., Nano Lett. 2012 12:3867-71, Zheng et al., Proc. Natl. Acad. Sci. USA. 2012 109:11975-80, Mirkin, Nanomedicine 2012 7:635-638 Zhang et al., J. Am. Chem. Soc. 2012 134:16488-1691, Weintraub, Nature 2013 495:S14-S16, Choi et al., Proc. Natl. Acad. Sci. USA. 2013 110(19):7625-7630, Jensen et al., Sci. Transl. Med. 5, 209ra152 (2013) and Mirkin, et al., Small, 10:186-192.

Self-assembling particles with RNA may be constructed with polyethyleneimine (PEI) that is PEGylated with an Arg-Gly-Asp (RGD) peptide ligand attached at the distal end of the polyethylene glycol (PEG). This system has been used, for example, as a means to target tumor neovasculature expressing integrins and deliver siRNA inhibiting vascular endothelial growth factor receptor-2 (VEGF R2) expression and thereby achieve tumor angiogenesis (see, e.g., Schiffelers et al., Nucleic Acids Research, 2004, Vol. 32, No. 19). Nanoplexes may be prepared by mixing equal volumes of aqueous solutions of cationic polymer and nucleic acid to give a net molar excess of ionizable nitrogen (polymer) to phosphate (nucleic acid) over the range of 2 to 6. The electrostatic interactions between cationic polymers and nucleic acid resulted in the formation of polyplexes with average particle size distribution of about 100 nm, hence referred to here as nanoplexes. A dosage of about 100 to 200 mg of CRISPR Cas is envisioned for delivery in the self-assembling particles of Schiffelers et al.

The nanoplexes of Bartlett et al. (PNAS, Sep. 25, 2007,vol. 104, no. 39) may also be applied to the present invention. The nanoplexes of Bartlett et al. are prepared by mixing equal volumes of aqueous solutions of cationic polymer and nucleic acid to give a net molar excess of ionizable nitrogen (polymer) to phosphate (nucleic acid) over the range of 2 to 6. The electrostatic interactions between cationic polymers and nucleic acid resulted in the formation of polyplexes with average particle size distribution of about 100 nm, hence referred to here as nanoplexes. The DOTA-siRNA of Bartlett et al. was synthesized as follows: 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid mono(N-hydroxy succinimide ester) (DOTA-NHSester) was ordered from Macrocyclics (Dallas, Tex.). The amine modified RNA sense strand with a 100-fold molar excess of DOTA-NHS-ester in carbonate buffer (pH 9) was added to a microcentrifuge tube. The contents were reacted by stirring for 4 h at room temperature. The DOTA-RNAsense conjugate was ethanol-precipitated, resuspended in water, and annealed to the unmodified antisense strand to yield DOTA-siRNA. All liquids were pretreated with Chelex-100 (Bio-Rad, Hercules, Calif.) to remove trace metal contaminants. Tf-targeted and nontargeted siRNA particles may be formed by using cyclodextrin-containing polycations. Typically, particles were formed in water at a charge ratio of 3 (+/−) and an siRNA concentration of 0.5 g/liter. One percent of the adamantane-PEG molecules on the surface of the targeted particles were modified with Tf (adamantane-PEG-Tf). The particles were suspended in a 5% (wt/vol) glucose carrier solution for injection.

Davis et al. (Nature, Vol 464, 15 Apr. 2010) conducts a RNA clinical trial that uses a targeted particle-delivery system (clinical trial registration number NCT00689065). Patients with solid cancers refractory to standard-of-care therapies are administered doses of targeted particles on days 1, 3, 8 and 10 of a 21-day cycle by a 30-min intravenous infusion. The particles consist of a synthetic delivery system containing: (1) a linear, cyclodextrin-based polymer (CDP), (2) a human transferrin protein (TF) targeting ligand displayed on the exterior of the particle to engage TF receptors (TFR) on the surface of the cancer cells, (3) a hydrophilic polymer (polyethylene glycol (PEG) used to promote particle stability in biological fluids), and (4) siRNA designed to reduce the expression of the RRM2 (sequence used in the clinic was previously denoted siR2B+5). The TFR has long been known to be upregulated in malignant cells, and RRM2 is an established anti-cancer target. These particles (clinical version denoted as CALAA-01) have been shown to be well tolerated in multi-dosing studies in non-human primates. Although a single patient with chronic myeloid leukaemia has been administered siRNAby liposomal delivery, Davis et al.'s clinical trial is the initial human trial to systemically deliver siRNA with a targeted delivery system and to treat patients with solid cancer. To ascertain whether the targeted delivery system can provide effective delivery of functional siRNA to human tumours, Davis et al. investigated biopsies from three patients from three different dosing cohorts; patients A, B and C, all of whom had metastatic melanoma and received CALAA-01 doses of 18, 24 and 30 mg m⁻² siRNA, respectively. Similar doses may also be contemplated for the CRISPR Cas system of the present invention. The delivery of the invention may be achieved with particles containing a linear, cyclodextrin-based polymer (CDP), a human transferrin protein (TF) targeting ligand displayed on the exterior of the particle to engage TF receptors (TFR) on the surface of the cancer cells and/or a hydrophilic polymer (for example, polyethylene glycol (PEG) used to promote particle stability in biological fluids).

In terms of this invention, it is preferred to have one or more components of the DNA targeting agent according to the invention as described herein, such as by means of example the CRISPR complex, e.g., CRISPR enzyme or mRNA or guide RNA delivered using particles or lipid envelopes. Other delivery systems or vectors are may be used in conjunction with the particle aspects of the invention.

In general, a “nanoparticle” refers to any particle having a diameter of less than 1000 nm. In certain preferred embodiments, nanoparticles of the invention have a greatest dimension (e.g., diameter) of 500 nm or less. In other preferred embodiments, nanoparticles of the invention have a greatest dimension ranging between 25 nm and 200 nm. In other preferred embodiments, nanoparticles of the invention have a greatest dimension of 100 nm or less. In other preferred embodiments, particles of the invention have a greatest dimension ranging between 35 nm and 60 nm. In other preferred embodiments, the particles of the invention are not nanoparticles.

Particles encompassed in the present invention may be provided in different forms, e.g., as solid particles (e.g., metal such as silver, gold, iron, titanium), non-metal, lipid-based solids, polymers), suspensions of particles, or combinations thereof. Metal, dielectric, and semiconductor particles may be prepared, as well as hybrid structures (e.g., core-shell particles). Particles made of semiconducting material may also be labeled quantum dots if they are small enough (typically sub 10 nm) that quantization of electronic energy levels occurs. Such nanoscale particles are used in biomedical applications as drug carriers or imaging agents and may be adapted for similar purposes in the present invention.

Semi-solid and soft particles have been manufactured, and are within the scope of the present invention. A prototype particle of semi-solid nature is the liposome. Various types of liposome particles are currently used clinically as delivery systems for anticancer drugs and vaccines. Particles with one half hydrophilic and the other half hydrophobic are termed Janus particles and are particularly effective for stabilizing emulsions. They can self-assemble at water/oil interfaces and act as solid surfactants.

U.S. Pat. No. 8,709,843, incorporated herein by reference, provides a drug delivery system for targeted delivery of therapeutic agent-containing particles to tissues, cells, and intracellular compartments. The invention provides targeted particles comprising comprising polymer conjugated to a surfactant, hydrophilic polymer or lipid. U.S. Pat. No. 6,007,845, incorporated herein by reference, provides particles which have a core of a multiblock copolymer formed by covalently linking a multifunctional compound with one or more hydrophobic polymers and one or more hydrophilic polymers, and conatin a biologically active material. U.S. Pat. No. 5,855,913, incorporated herein by reference, provides a particulate composition having aerodynamically light particles having a tap density of less than 0.4 g/cm3 with a mean diameter of between 5 μm and 30 μm, incorporating a surfactant on the surface thereof for drug delivery to the pulmonary system. U.S. Pat. No. 5,985,309, incorporated herein by reference, provides particles incorporating a surfactant and/or a hydrophilic or hydrophobic complex of a positively or negatively charged therapeutic or diagnostic agent and a charged molecule of opposite charge for delivery to the pulmonary system. U.S. Pat. No. 5,543,158, incorporated herein by reference, provides biodegradable injectable particles having a biodegradable solid core containing a biologically active material and poly(alkylene glycol) moieties on the surface. WO2012135025 (also published as US20120251560), incorporated herein by reference, describes conjugated polyethyleneimine (PEI) polymers and conjugated aza-macrocycles (collectively referred to as “conjugated lipomer” or “lipomers”). In certain embodiments, it can envisioned that such conjugated lipomers can be used in the context of the CRISPR-Cas system to achieve in vitro, ex vivo and in vivo genomic perturbations to modify gene expression, including modulation of protein expression.

In one embodiment, the particle may be epoxide-modified lipid-polymer, advantageously 7C1 (see, e.g., James E. Dahlman and Carmen Barnes et al. Nature Nanotechnology (2014) published online 11 May 2014, doi:10.1038/nnano.2014.84). C71 was synthesized by reacting C15 epoxide-terminated lipids with PEI600 at a 14:1 molar ratio, and was formulated with C14PEG2000 to produce particles (diameter between 35 and 60 nm) that were stable in PBS solution for at least 40 days.

An epoxide-modified lipid-polymer may be utilized to deliver the CRISPR-Cas system of the present invention to pulmonary, cardiovascular or renal cells, however, one of skill in the art may adapt the system to deliver to other target organs. Dosage ranging from about 0.05 to about 0.6 mg/kg are envisioned. Dosages over several days or weeks are also envisioned, with a total dosage of about 2 mg/kg.

Exosomes

Exosomes are endogenous nano-vesicles that transport RNAs and proteins, and which can deliver RNA to the brain and other target organs. To reduce immunogenicity, Alvarez-Erviti et al. (2011, Nat Biotechnol 29: 341) used self-derived dendritic cells for exosome production. Targeting to the brain was achieved by engineering the dendritic cells to express Lamp2b, an exosomal membrane protein, fused to the neuron-specific RVG peptide. Purified exosomes were loaded with exogenous RNA by electroporation. Intravenously injected RVG-targeted exosomes delivered GAPDH siRNA specifically to neurons, microglia, oligodendrocytes in the brain, resulting in a specific gene knockdown. Pre-exposure to RVG exosomes did not attenuate knockdown, and non-specific uptake in other tissues was not observed. The therapeutic potential of exosome-mediated siRNA delivery was demonstrated by the strong mRNA (60%) and protein (62%) knockdown of BACE1, a therapeutic target in Alzheimer's disease.

To obtain a pool of immunologically inert exosomes, Alvarez-Erviti et al. harvested bone marrow from inbred C57BL/6 mice with a homogenous major histocompatibility complex (MHC) haplotype. As immature dendritic cells produce large quantities of exosomes devoid of T-cell activators such as MHC-II and CD86, Alvarez-Erviti et al. selected for dendritic cells with granulocyte/macrophage-colony stimulating factor (GM-CSF) for 7 d. Exosomes were purified from the culture supernatant the following day using well-established ultracentrifugation protocols. The exosomes produced were physically homogenous, with a size distribution peaking at 80 nm in diameter as determined by particle tracking analysis (NTA) and electron microscopy. Alvarez-Erviti et al. obtained 6-12 μg of exosomes (measured based on protein concentration) per 10⁶ cells.

Next, Alvarez-Erviti et al. investigated the possibility of loading modified exosomes with exogenous cargoes using electroporation protocols adapted for nanoscale applications. As electroporation for membrane particles at the nanometer scale is not well-characterized, nonspecific Cy5-labeled RNA was used for the empirical optimization of the electroporation protocol. The amount of encapsulated RNA was assayed after ultracentrifugation and lysis of exosomes. Electroporation at 400 V and 125 μF resulted in the greatest retention of RNA and was used for all subsequent experiments.

Alvarez-Erviti et al. administered 150 μg of each BACE1 siRNA encapsulated in 150 of RVG exosomes to normal C57BL/6 mice and compared the knockdown efficiency to four controls: untreated mice, mice injected with RVG exosomes only, mice injected with BACE1 siRNA complexed to an in vivo cationic liposome reagent and mice injected with BACE1 siRNA complexed to RVG-9R, the RVG peptide conjugated to 9 D-arginines that electrostatically binds to the siRNA. Cortical tissue samples were analyzed 3 d after administration and a significant protein knockdown (45%, P<0.05, versus 62%, P<0.01) in both siRNA-RVG-9R-treated and siRNARVG exosome-treated mice was observed, resulting from a significant decrease in BACE1 mRNA levels (66% [+ or −] 15%, P<0.001 and 61% [+ or −] 13% respectively, P<0.01). Moreover, Applicants demonstrated a significant decrease (55%, P<0.05) in the total [beta]-amyloid 1-42 levels, a main component of the amyloid plaques in Alzheimer's pathology, in the RVG-exosome-treated animals. The decrease observed was greater than the β-amyloid 1-40 decrease demonstrated in normal mice after intraventricular injection of BACE1 inhibitors. Alvarez-Erviti et al. carried out 5′-rapid amplification of cDNA ends (RACE) on BACE1 cleavage product, which provided evidence of RNAi-mediated knockdown by the siRNA.

Finally, Alvarez-Erviti et al. investigated whether RNA-RVG exosomes induced immune responses in vivo by assessing IL-6, IP-10, TNFα and IFN-α serum concentrations. Following exosome treatment, nonsignificant changes in all cytokines were registered similar to siRNA-transfection reagent treatment in contrast to siRNA-RVG-9R, which potently stimulated IL-6 secretion, confirming the immunologically inert profile of the exosome treatment. Given that exosomes encapsulate only 20% of siRNA, delivery with RVG-exosome appears to be more efficient than RVG-9R delivery as comparable mRNA knockdown and greater protein knockdown was achieved with fivefold less siRNA without the corresponding level of immune stimulation. This experiment demonstrated the therapeutic potential of RVG-exosome technology, which is potentially suited for long-term silencing of genes related to neurodegenerative diseases. The exosome delivery system of Alvarez-Erviti et al. may be applied to deliver the the DNA targeting agent according to the invention as described herein, such as by means of example the CRISPR-Cas system of the present invention to therapeutic targets, especially neurodegenerative diseases. A dosage of about 100 to 1000 mg of CRISPR Cas encapsulated in about 100 to 1000 mg of RVG exosomes may be contemplated for the present invention.

El-Andaloussi et al. (Nature Protocols 7,2112-2126(2012)) discloses how exosomes derived from cultured cells can be harnessed for delivery of RNA in vitro and in vivo. This protocol first describes the generation of targeted exosomes through transfection of an expression vector, comprising an exosomal protein fused with a peptide ligand. Next, El-Andaloussi et al. explain how to purify and characterize exosomes from transfected cell supernatant. Next, El-Andaloussi et al. detail crucial steps for loading RNA into exosomes. Finally, El-Andaloussi et al. outline how to use exosomes to efficiently deliver RNA in vitro and in vivo in mouse brain. Examples of anticipated results in which exosome-mediated RNA delivery is evaluated by functional assays and imaging are also provided. The entire protocol takes ˜3 weeks. Delivery or administration according to the invention may be performed using exosomes produced from self-derived dendritic cells. From the herein teachings, this can be employed in the practice of the invention.

In another embodiment, the plasma exosomes of Wahlgren et al. (Nucleic Acids Research, 2012, Vol. 40, No. 17 e130) are contemplated. Exosomes are nano-sized vesicles (30-90 nm in size) produced by many cell types, including dendritic cells (DC), B cells, T cells, mast cells, epithelial cells and tumor cells. These vesicles are formed by inward budding of late endosomes and are then released to the extracellular environment upon fusion with the plasma membrane. Because exosomes naturally carry RNA between cells, this property may be useful in gene therapy, and from this disclosure can be employed in the practice of the instant invention.

Exosomes from plasma can be prepared by centrifugation of buffy coat at 900 g for 20 min to isolate the plasma followed by harvesting cell supernatants, centrifuging at 300 g for 10 min to eliminate cells and at 16 500 g for 30 min followed by filtration through a 0.22 mm filter. Exosomes are pelleted by ultracentrifugation at 120 000 g for 70 min. Chemical transfection of siRNA into exosomes is carried out according to the manufacturer's instructions in RNAi Human/Mouse Starter Kit (Quiagen, Hilden, Germany). siRNA is added to 100 ml PBS at a final concentration of 2 mmol/ml. After adding HiPerFect transfection reagent, the mixture is incubated for 10 min at RT. In order to remove the excess of micelles, the exosomes are re-isolated using aldehyde/sulfate latex beads. The chemical transfection of CRISPR Cas into exosomes may be conducted similarly to siRNA. The exosomes may be co-cultured with monocytes and lymphocytes isolated from the peripheral blood of healthy donors. Therefore, it may be contemplated that exosomes containing the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas may be introduced to monocytes and lymphocytes of and autologously reintroduced into a human. Accordingly, delivery or administration according to the invention may beperformed using plasma exosomes.

Liposomes

Delivery or administration according to the invention can be performed with liposomes. Liposomes are spherical vesicle structures composed of a uni- or multilamellar lipid bilayer surrounding internal aqueous compartments and a relatively impermeable outer lipophilic phospholipid bilayer. Liposomes have gained considerable attention as drug delivery carriers because they are biocompatible, nontoxic, can deliver both hydrophilic and lipophilic drug molecules, protect their cargo from degradation by plasma enzymes, and transport their load across biological membranes and the blood brain barrier (BBB) (see, e.g., Spuch and Navarro, Journal of Drug Delivery, vol. 2011, Article ID 469679, 12 pages, 2011. doi:10.1155/2011/469679 for review).

Liposomes can be made from several different types of lipids; however, phospholipids are most commonly used to generate liposomes as drug carriers. Although liposome formation is spontaneous when a lipid film is mixed with an aqueous solution, it can also be expedited by applying force in the form of shaking by using a homogenizer, sonicator, or an extrusion apparatus (see, e.g., Spuch and Navarro, Journal of Drug Delivery, vol. 2011, Article ID 469679, 12 pages, 2011. doi:10.1155/2011/469679 for review).

Several other additives may be added to liposomes in order to modify their structure and properties. For instance, either cholesterol or sphingomyelin may be added to the liposomal mixture in order to help stabilize the liposomal structure and to prevent the leakage of the liposomal inner cargo. Further, liposomes are prepared from hydrogenated egg phosphatidylcholine or egg phosphatidylcholine, cholesterol, and dicetyl phosphate, and their mean vesicle sizes were adjusted to about 50 and 100 nm. (see, e.g., Spuch and Navarro, Journal of Drug Delivery, vol. 2011, Article ID 469679, 12 pages, 2011. doi:10.1155/2011/469679 for review).

A liposome formulation may be mainly comprised of natural phospholipids and lipids such as 1,2-distearoryl-sn-glycero-3-phosphatidyl choline (DSPC), sphingomyelin, egg phosphatidylcholines and monosialoganglioside. Since this formulation is made up of phospholipids only, liposomal formulations have encountered many challenges, one of the ones being the instability in plasma. Several attempts to overcome these challenges have been made, specifically in the manipulation of the lipid membrane. One of these attempts focused on the manipulation of cholesterol. Addition of cholesterol to conventional formulations reduces rapid release of the encapsulated bioactive compound into the plasma or 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) increases the stability (see, e.g., Spuch and Navarro, Journal of Drug Delivery, vol. 2011, Article ID 469679, 12 pages, 2011. doi:10.1155/2011/469679 for review).

In a particularly advantageous embodiment, Trojan Horse liposomes (also known as Molecular Trojan Horses) are desirable and protocols may be found at cshprotocols.cshlp.org/content/2010/4/pdb.prot5407.long. These particles allow delivery of a transgene to the entire brain after an intravascular injection. Without being bound by limitation, it is believed that neutral lipid particles with specific antibodies conjugated to surface allow crossing of the blood brain barrier via endocytosis. Applicant postulates utilizing Trojan Horse Liposomes to deliver the the DNA targeting agent according to the invention as described herein, such as by means of example the CRISPR family of nucleases to the brain via an intravascular injection, which would allow whole brain transgenic animals without the need for embryonic manipulation. About 1-5 g of DNA or RNA may be contemplated for in vivo administration in liposomes.

In another embodiment, the the DNA targeting agent according to the invention as described herein, such as by means of example the CRISPR Cas system may be administered in liposomes, such as a stable nucleic-acid-lipid particle (SNALP) (see, e.g., Morrissey et al., Nature Biotechnology, Vol. 23, No. 8, August 2005). Daily intravenous injections of about 1, 3 or 5 mg/kg/day of a specific CRISPR Cas targeted in a SNALP are contemplated. The daily treatment may be over about three days and then weekly for about five weeks. In another embodiment, a specific CRISPR Cas encapsulated SNALP) administered by intravenous injection to at doses of about 1 or 2.5 mg/kg are also contemplated (see, e.g., Zimmerman et al., Nature Letters, Vol. 441, 4 May 2006). The SNALP formulation may contain the lipids 3-N-[(wmethoxypoly(ethylene glycol) 2000) carbamoyl]-1,2-dimyristyloxy-propylamine (PEG-C-DMA), 1,2-dilinoleyloxy-N,N-dimethyl-3-aminopropane (DLinDMA), 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC) and cholesterol, in a 2:40:10:48 molar percent ratio (see, e.g., Zimmerman et al., Nature Letters, Vol. 441, 4 May 2006).

In another embodiment, stable nucleic-acid-lipid particles (SNALPs) have proven to be effective delivery molecules to highly vascularized HepG2-derived liver tumors but not in poorly vascularized HCT-116 derived liver tumors (see, e.g., Li, Gene Therapy (2012) 19, 775-780). The SNALP liposomes may be prepared by formulating D-Lin-DMA and PEG-C-DMA with distearoylphosphatidylcholine (DSPC), Cholesterol and siRNA using a 25:1 lipid/siRNA ratio and a 48/40/10/2 molar ratio of Cholesterol/D-Lin-DMA/DSPC/PEG-C-DMA. The resulted SNALP liposomes are about 80-100 nm in size.

In yet another embodiment, a SNALP may comprise synthetic cholesterol (Sigma-Aldrich, St Louis, Mo., USA), dipalmitoylphosphatidylcholine (Avanti Polar Lipids, Alabaster, Ala., USA), 3-N-[(w-methoxy poly(ethylene glycol)2000)carbamoyl]-1,2-dimyrestyloxypropylamine, and cationic 1,2-dilinoleyloxy-3-N,Ndimethylaminopropane (see, e.g., Geisbert et al., Lancet 2010; 375: 1896-905). A dosage of about 2 mg/kg total CRISPR Cas per dose administered as, for example, a bolus intravenous infusion may be contemplated.

In yet another embodiment, a SNALP may comprise synthetic cholesterol (Sigma-Aldrich), 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC; Avanti Polar Lipids Inc.), PEG-cDMA, and 1,2-dilinoleyloxy-3-(N;N-dimethyl)aminopropane (DLinDMA) (see, e.g., Judge, J. Clin. Invest. 119:661-673 (2009)). Formulations used for in vivo studies may comprise a final lipid/RNA mass ratio of about 9:1.

The safety profile of RNAi nanomedicines has been reviewed by Barros and Gollob of Alnylam Pharmaceuticals (see, e.g., Advanced Drug Delivery Reviews 64 (2012) 1730-1737). The stable nucleic acid lipid particle (SNALP) is comprised of four different lipids—an ionizable lipid (DLinDMA) that is cationic at low pH, a neutral helper lipid, cholesterol, and a diffusible polyethylene glycol (PEG)-lipid. The particle is approximately 80 nm in diameter and is charge-neutral at physiologic pH. During formulation, the ionizable lipid serves to condense lipid with the anionic RNA during particle formation. When positively charged under increasingly acidic endosomal conditions, the ionizable lipid also mediates the fusion of SNALP with the endosomal membrane enabling release of RNA into the cytoplasm. The PEG-lipid stabilizes the particle and reduces aggregation during formulation, and subsequently provides a neutral hydrophilic exterior that improves pharmacokinetic properties.

To date, two clinical programs have been initiated using SNALP formulations with RNA. Tekmira Pharmaceuticals recently completed a phase I single-dose study of SNALP-ApoB in adult volunteers with elevated LDL cholesterol. ApoB is predominantly expressed in the liver and jejunum and is essential for the assembly and secretion of VLDL and LDL. Seventeen subjects received a single dose of SNALP-ApoB (dose escalation across 7 dose levels). There was no evidence of liver toxicity (anticipated as the potential dose-limiting toxicity based on preclinical studies). One (of two) subjects at the highest dose experienced flu-like symptoms consistent with immune system stimulation, and the decision was made to conclude the trial.

Alnylam Pharmaceuticals has similarly advanced ALN-TTR01, which employs the SNALP technology described above and targets hepatocyte production of both mutant and wild-type TTR to treat TTR amyloidosis (ATTR). Three ATTR syndromes have been described: familial amyloidotic polyneuropathy (FAP) and familial amyloidotic cardiomyopathy (FAC) both caused by autosomal dominant mutations in TTR; and senile systemic amyloidosis (SSA) cause by wildtype TTR. A placebo-controlled, single dose-escalation phase I trial of ALN-TTR01 was recently completed in patients with ATTR. ALN-TTR01 was administered as a 15-minute IV infusion to 31 patients (23 with study drug and 8 with placebo) within a dose range of 0.01 to 1.0 mg/kg (based on siRNA). Treatment was well tolerated with no significant increases in liver function tests. Infusion-related reactions were noted in 3 of 23 patients at >0.4 mg/kg; all responded to slowing of the infusion rate and all continued on study. Minimal and transient elevations of serum cytokines IL-6, IP-10 and IL-1ra were noted in two patients at the highest dose of 1 mg/kg (as anticipated from preclinical and NHP studies). Lowering of serum TTR, the expected pharmacodynamics effect of ALN-TTR01, was observed at 1 mg/kg.

In yet another embodiment, a SNALP may be made by solubilizing a cationic lipid, DSPC, cholesterol and PEG-lipid e.g., in ethanol, e.g., at a molar ratio of 40:10:40:10, respectively (see, Semple et al., Nature Niotechnology, Volume 28 Number 2 Feb. 2010, pp. 172-177). The lipid mixture was added to an aqueous buffer (50 mM citrate, pH 4) with mixing to a final ethanol and lipid concentration of 30% (vol/vol) and 6.1 mg/ml, respectively, and allowed to equilibrate at 22° C. for 2 min before extrusion. The hydrated lipids were extruded through two stacked 80 nm pore-sized filters (Nuclepore) at 22° C. using a Lipex Extruder (Northern Lipids) until a vesicle diameter of 70-90 nm, as determined by dynamic light scattering analysis, was obtained. This generally required 1-3 passes. The siRNA (solubilized in a 50 mM citrate, pH 4 aqueous solution containing 30% ethanol) was added to the pre-equilibrated (35° C.) vesicles at a rate of ˜5 ml/min with mixing. After a final target siRNA/lipid ratio of 0.06 (wt/wt) was reached, the mixture was incubated for a further 30 min at 35° C. to allow vesicle reorganization and encapsulation of the siRNA. The ethanol was then removed and the external buffer replaced with PBS (155 mM NaCl, 3 mM Na₂HPO₄, 1 mM KH₂PO₄, pH 7.5) by either dialysis or tangential flow diafiltration. siRNA were encapsulated in SNALP using a controlled step-wise dilution method process. The lipid constituents of KC2-SNALP were DLin-KC2-DMA (cationic lipid), dipalmitoylphosphatidylcholine (DPPC; Avanti Polar Lipids), synthetic cholesterol (Sigma) and PEG-C-DMA used at a molar ratio of 57.1:7.1:34.3:1.4. Upon formation of the loaded particles, SNALP were dialyzed against PBS and filter sterilized through a 0.2 μm filter before use. Mean particle sizes were 75-85 nm and 90-95% of the siRNA was encapsulated within the lipid particles. The final siRNA/lipid ratio in formulations used for in vivo testing was ˜0.15 (wt/wt). LNP-siRNA systems containing Factor VII siRNA were diluted to the appropriate concentrations in sterile PBS immediately before use and the formulations were administered intravenously through the lateral tail vein in a total volume of 10 ml/kg. This method and these delivery systems may be extrapolated to the CRISPR Cas system of the present invention.

Other Lipids

Other cationic lipids, such as amino lipid 2,2-dilinoleyl-4-dimethylaminoethyl-[1,3]-dioxolane (DLin-KC2-DMA) may be utilized to encapsulate the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas or components thereof or nucleic acid molecule(s) coding therefor e.g., similar to SiRNA (see, e.g., Jayaraman, Angew. Chem. Int. Ed. 2012, 51, 8529-8533), and hence may be employed in the practice of the invention. A preformed vesicle with the following lipid composition may be contemplated: amino lipid, di stearoylphosphatidylcholine (DSPC), cholesterol and (R)-2,3-bis(octadecyloxy) propyl-1-(methoxy poly(ethylene glycol)2000)propylcarbamate (PEG-lipid) in the molar ratio 40/10/40/10, respectively, and a FVII siRNA/total lipid ratio of approximately 0.05 (w/w). To ensure a narrow particle size distribution in the range of 70-90 nm and a low polydispersity index of 0.11±0.04 (n=56), the particles may be extruded up to three times through 80 nm membranes prior to adding the CRISPR Cas RNA. Particles containing the highly potent amino lipid 16 may be used, in which the molar ratio of the four lipid components 16, DSPC, cholesterol and PEG-lipid (50/10/38.5/1.5) which may be further optimized to enhance in vivo activity.

Michael S D Kormann et al. (“Expression of therapeutic proteins after delivery of chemically modified mRNA in mice: Nature Biotechnology, Volume: 29, Pages: 154-157 (2011)) describes the use of lipid envelopes to deliver RNA. Use of lipid envelopes is also preferred in the present invention.

In another embodiment, lipids may be formulated with the CRISPR Cas system of the present invention to form lipid particles (LNPs). Lipids include, but are not limited to, DLin-KC2-DMA4, C12-200 and colipids disteroylphosphatidyl choline, cholesterol, and PEG-DMG may be formulated with CRISPR Cas instead of siRNA (see, e.g., Novobrantseva, Molecular Therapy-Nucleic Acids (2012) 1, e4; doi:10.1038/mtna.2011.3) using a spontaneous vesicle formation procedure. The component molar ratio may be about 50/10/38.5/1.5 (DLin-KC2-DMA or C12-200/disteroylphosphatidyl choline/cholesterol/PEG-DMG). The final lipid:siRNA weight ratio may be ˜12:1 and 9:1 in the case of DLin-KC2-DMA and C12-200 lipid particles (LNPs), respectively. The formulations may have mean particle diameters of ˜80 nm with >90% entrapment efficiency. A 3 mg/kg dose may be contemplated.

Tekmira has a portfolio of approximately 95 patent families, in the U.S. and abroad, that are directed to various aspects of LNPs and LNP formulations (see, e.g., U.S. Pat. Nos. 7,982,027; 7,799,565; 8,058,069; 8,283,333; 7,901,708; 7,745,651; 7,803,397; 8,101,741; 8,188,263; 7,915,399; 8,236,943 and 7,838,658 and European Pat. Nos 1766035; 1519714; 1781593 and 1664316), all of which may be used and/or adapted to the present invention.

The the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system or components thereof or nucleic acid molecule(s) coding therefor may be delivered encapsulated in PLGA Microspheres such as that further described in US published applications 20130252281 and 20130245107 and 20130244279 (assigned to Moderna Therapeutics) which relate to aspects of formulation of compositions comprising modified nucleic acid molecules which may encode a protein, a protein precursor, or a partially or fully processed form of the protein or a protein precursor. The formulation may have a molar ratio 50:10:38.5:1.5-3.0 (cationic lipid:fusogenic lipid:cholesterol:PEG lipid). The PEG lipid may be selected from, but is not limited to PEG-c-DOMG, PEG-DMG. The fusogenic lipid may be DSPC. See also, Schrum et al., Delivery and Formulation of Engineered Nucleic Acids, US published application 20120251618.

Nanomerics' technology addresses bioavailability challenges for a broad range of therapeutics, including low molecular weight hydrophobic drugs, peptides, and nucleic acid based therapeutics (plasmid, siRNA, miRNA). Specific administration routes for which the technology has demonstrated clear advantages include the oral route, transport across the blood-brain-barrier, delivery to solid tumours, as well as to the eye. See, e.g., Mazza et al., 2013, ACS Nano. 2013 Feb. 26; 7(2):1016-26; Uchegbu and Siew, 2013, J Pharm Sci. 102(2):305-10 and Lalatsa et al., 2012, J Control Release. 2012 Jul. 20; 161(2):523-36.

US Patent Publication No. 20050019923 describes cationic dendrimers for delivering bioactive molecules, such as polynucleotide molecules, peptides and polypeptides and/or pharmaceutical agents, to a mammalian body. The dendrimers are suitable for targeting the delivery of the bioactive molecules to, for example, the liver, spleen, lung, kidney or heart (or even the brain). Dendrimers are synthetic 3-dimensional macromolecules that are prepared in a step-wise fashion from simple branched monomer units, the nature and functionality of which can be easily controlled and varied. Dendrimers are synthesised from the repeated addition of building blocks to a multifunctional core (divergent approach to synthesis), or towards a multifunctional core (convergent approach to synthesis) and each addition of a 3-dimensional shell of building blocks leads to the formation of a higher generation of the dendrimers. Polypropylenimine dendrimers start from a diaminobutane core to which is added twice the number of amino groups by a double Michael addition of acrylonitrile to the primary amines followed by the hydrogenation of the nitriles. This results in a doubling of the amino groups. Polypropylenimine dendrimers contain 100% protonable nitrogens and up to 64 terminal amino groups (generation 5, DAB 64). Protonable groups are usually amine groups which are able to accept protons at neutral pH. The use of dendrimers as gene delivery agents has largely focused on the use of the polyamidoamine. and phosphorous containing compounds with a mixture of amine/amide or N—P(O₂)S as the conjugating units respectively with no work being reported on the use of the lower generation polypropylenimine dendrimers for gene delivery. Polypropylenimine dendrimers have also been studied as pH sensitive controlled release systems for drug delivery and for their encapsulation of guest molecules when chemically modified by peripheral amino acid groups. The cytotoxicity and interaction of polypropylenimine dendrimers with DNA as well as the transfection efficacy of DAB 64 has also been studied.

US Patent Publication No. 20050019923 is based upon the observation that, contrary to earlier reports, cationic dendrimers, such as polypropylenimine dendrimers, display suitable properties, such as specific targeting and low toxicity, for use in the targeted delivery of bioactive molecules, such as genetic material. In addition, derivatives of the cationic dendrimer also display suitable properties for the targeted delivery of bioactive molecules. See also, Bioactive Polymers, US published application 20080267903, which discloses “Various polymers, including cationic polyamine polymers and dendrimeric polymers, are shown to possess anti-proliferative activity, and may therefore be useful for treatment of disorders characterised by undesirable cellular proliferation such as neoplasms and tumours, inflammatory disorders (including autoimmune disorders), psoriasis and atherosclerosis. The polymers may be used alone as active agents, or as delivery vehicles for other therapeutic agents, such as drug molecules or nucleic acids for gene therapy. In such cases, the polymers' own intrinsic anti-tumour activity may complement the activity of the agent to be delivered.” The disclosures of these patent publications may be employed in conjunction with herein teachings for delivery of CRISPR Cas system(s) or component(s) thereof or nucleic acid molecule(s) coding therefor.

Supercharged Proteins

Supercharged proteins are a class of engineered or naturally occurring proteins with unusually high positive or negative net theoretical charge and may be employed in delivery of the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system(s) or component(s) thereof or nucleic acid molecule(s) coding therefor. Both supernegatively and superpositively charged proteins exhibit a remarkable ability to withstand thermally or chemically induced aggregation. Superpositively charged proteins are also able to penetrate mammalian cells. Associating cargo with these proteins, such as plasmid DNA, RNA, or other proteins, can enable the functional delivery of these macromolecules into mammalian cells both in vitro and in vivo. David Liu's lab reported the creation and characterization of supercharged proteins in 2007 (Lawrence et al., 2007, Journal of the American Chemical Society 129, 10110-10112).

The nonviral delivery of RNA and plasmid DNA into mammalian cells are valuable both for research and therapeutic applications (Akinc et al., 2010, Nat. Biotech. 26, 561-569). Purified +36 GFP protein (or other superpositively charged protein) is mixed with RNAs in the appropriate serum-free media and allowed to complex prior addition to cells. Inclusion of serum at this stage inhibits formation of the supercharged protein-RNA complexes and reduces the effectiveness of the treatment. The following protocol has been found to be effective for a variety of cell lines (McNaughton et al., 2009, Proc. Natl. Acad. Sci. USA 106, 6111-6116) (However, pilot experiments varying the dose of protein and RNA should be performed to optimize the procedure for specific cell lines): (1) One day before treatment, plate 1×10⁵ cells per well in a 48-well plate. (2) On the day of treatment, dilute purified+36 GFP protein in serumfree media to a final concentration 200 nM. Add RNA to a final concentration of 50 nM. Vortex to mix and incubate at room temperature for 10 min. (3) During incubation, aspirate media from cells and wash once with PBS. (4) Following incubation of +36 GFP and RNA, add the protein-RNA complexes to cells. (5) Incubate cells with complexes at 37° C. for 4 h. (6) Following incubation, aspirate the media and wash three times with 20 U/mL heparin PBS. Incubate cells with serum-containing media for a further 48 h or longer depending upon the assay for activity. (7) Analyze cells by immunoblot, qPCR, phenotypic assay, or other appropriate method.

David Liu's lab has further found+36 GFP to be an effective plasmid delivery reagent in a range of cells. As plasmid DNA is a larger cargo than siRNA, proportionately more +36 GFP protein is required to effectively complex plasmids. For effective plasmid delivery Applicants have developed a variant of +36 GFP bearing a C-terminal HA2 peptide tag, a known endosome-disrupting peptide derived from the influenza virus hemagglutinin protein. The following protocol has been effective in a variety of cells, but as above it is advised that plasmid DNA and supercharged protein doses be optimized for specific cell lines and delivery applications: (1) One day before treatment, plate 1×10⁵ per well in a 48-well plate. (2) On the day of treatment, dilute purified +36 GFP protein in serumfree media to a final concentration 2 mM. Add 1 mg of plasmid DNA. Vortex to mix and incubate at room temperature for 10 min. (3) During incubation, aspirate media from cells and wash once with PBS. (4) Following incubation of

36 GFP and plasmid DNA, gently add the protein-DNA complexes to cells. (5) Incubate cells with complexes at 37 C for 4 h. (6) Following incubation, aspirate the media and wash with PBS. Incubate cells in serum-containing media and incubate for a further 24-48 h. (7) Analyze plasmid delivery (e.g., by plasmid-driven gene expression) as appropriate. See also, e.g., McNaughton et al., Proc. Natl. Acad. Sci. USA 106, 6111-6116 (2009); Cronican et al., ACS Chemical Biology 5, 747-752 (2010); Cronican et al., Chemistry & Biology 18, 833-838 (2011); Thompson et al., Methods in Enzymology 503, 293-319 (2012); Thompson, D. B., et al., Chemistry & Biology 19 (7), 831-843 (2012). The methods of the super charged proteins may be used and/or adapted for delivery of the CRISPR Cas system of the present invention. These systems of Dr. Lui and documents herein in inconjunction with herein teachints can be employed in the delivery of the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system(s) or component(s) thereof or nucleic acid molecule(s) coding therefor.

Cell Penetrating Peptides (CPPs)

In yet another embodiment, cell penetrating peptides (CPPs) are contemplated for the delivery of the the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system. CPPs are short peptides that facilitate cellular uptake of various molecular cargo (from nanosize particles to small chemical molecules and large fragments of DNA). The term “cargo” as used herein includes but is not limited to the group consisting of therapeutic agents, diagnostic probes, peptides, nucleic acids, antisense oligonucleotides, plasmids, proteins, particles, liposomes, chromophores, small molecules and radioactive materials. In aspects of the invention, the cargo may also comprise any component of the the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system or the entire functional CRISPR Cas system. Aspects of the present invention further provide methods for delivering a desired cargo into a subject comprising: (a) preparing a complex comprising the cell penetrating peptide of the present invention and a desired cargo, and (b) orally, intraarticularly, intraperitoneally, intrathecally, intrarterially, intranasally, intraparenchymally, subcutaneously, intramuscularly, intravenously, dermally, intrarectally, or topically administering the complex to a subject. The cargo is associated with the peptides either through chemical linkage via covalent bonds or through non-covalent interactions.

The function of the CPPs are to deliver the cargo into cells, a process that commonly occurs through endocytosis with the cargo delivered to the endosomes of living mammalian cells. Cell-penetrating peptides are of different sizes, amino acid sequences, and charges but all CPPs have one distinct characteristic, which is the ability to translocate the plasma membrane and facilitate the delivery of various molecular cargoes to the cytoplasm or an organelle. CPP translocation may be classified into three main entry mechanisms: direct penetration in the membrane, endocytosis-mediated entry, and translocation through the formation of a transitory structure. CPPs have found numerous applications in medicine as drug delivery agents in the treatment of different diseases including cancer and virus inhibitors, as well as contrast agents for cell labeling. Examples of the latter include acting as a carrier for GFP, MRI contrast agents, or quantum dots. CPPs hold great potential as in vitro and in vivo delivery vectors for use in research and medicine. CPPs typically have an amino acid composition that either contains a high relative abundance of positively charged amino acids such as lysine or arginine or has sequences that contain an alternating pattern of polar/charged amino acids and non-polar, hydrophobic amino acids. These two types of structures are referred to as polycationic or amphipathic, respectively. A third class of CPPs are the hydrophobic peptides, containing only apolar residues, with low net charge or have hydrophobic amino acid groups that are crucial for cellular uptake. One of the initial CPPs discovered was the trans-activating transcriptional activator (Tat) from Human Immunodeficiency Virus 1 (HIV-1) which was found to be efficiently taken up from the surrounding media by numerous cell types in culture. Since then, the number of known CPPs has expanded considerably and small molecule synthetic analogues with more effective protein transduction properties have been generated. CPPs include but are not limited to Penetratin, Tat (48-60), Transportan, and (R-AhX-R)4 (SEQ ID NO: 110) (Ahx=aminohexanoyl).

U.S. Pat. No. 8,372,951, provides a CPP derived from eosinophil cationic protein (ECP) which exhibits highly cell-penetrating efficiency and low toxicity. Aspects of delivering the CPP with its cargo into a vertebrate subject are also provided. Further aspects of CPPs and their delivery are described in U.S. Pat. Nos. 8,575,305; 8; 614,194 and 8,044,019. CPPs can be used to deliver the CRISPR-Cas system or components thereof. That CPPs can be employed to deliver the CRISPR-Cas system or components thereof is also provided in the manuscript “Gene disruption by cell-penetrating peptide-mediated delivery of Cas9 protein and guide RNA”, by Suresh Ramakrishna, Abu-Bonsrah Kwaku Dad, Jagadish Beloor, et al. Genome Res. 2014 Apr. 2. [Epub ahead of print], incorporated by reference in its entirety, wherein it is demonstrated that treatment with CPP-conjugated recombinant Cas9 protein and CPP-complexed guide RNAs lead to endogenous gene disruptions in human cell lines. In the paper the Cas9 protein was conjugated to CPP via a thioether bond, whereas the guide RNA was complexed with CPP, forming condensed, positively charged particles. It was shown that simultaneous and sequential treatment of human cells, including embryonic stem cells, dermal fibroblasts, HEK293T cells, HeLa cells, and embryonic carcinoma cells, with the modified Cas9 and guide RNA led to efficient gene disruptions with reduced off-target mutations relative to plasmid transfections.

Implantable Devices

In another embodiment, implantable devices are also contemplated for delivery of the the DNA targeting agent according to the invention as described herein, such as by means of example the CRISPR Cas system or component(s) thereof or nucleic acid molecule(s) coding therefor. For example, US Patent Publication 20110195123 discloses an implantable medical device which elutes a drug locally and in prolonged period is provided, including several types of such a device, the treatment modes of implementation and methods of implantation. The device comprising of polymeric substrate, such as a matrix for example, that is used as the device body, and drugs, and in some cases additional scaffolding materials, such as metals or additional polymers, and materials to enhance visibility and imaging. An implantable delivery device can be advantageous in providing release locally and over a prolonged period, where drug is released directly to the extracellular matrix (ECM) of the diseased area such as tumor, inflammation, degeneration or for symptomatic objectives, or to injured smooth muscle cells, or for prevention. One kind of drug is RNA, as disclosed above, and this system may be used/and or adapted to the the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system of the present invention. The modes of implantation in some embodiments are existing implantation procedures that are developed and used today for other treatments, including brachytherapy and needle biopsy. In such cases the dimensions of the new implant described in this invention are similar to the original implant. Typically a few devices are implanted during the same treatment procedure.

As described in US Patent Publication 20110195123, there is provided a drug delivery implantable or insertable system, including systems applicable to a cavity such as the abdominal cavity and/or any other type of administration in which the drug delivery system is not anchored or attached, comprising a biostable and/or degradable and/or bioabsorbable polymeric substrate, which may for example optionally be a matrix. It should be noted that the term “insertion” also includes implantation. The drug delivery system is preferably implemented as a “Loder” as described in US Patent Publication 20110195123.

The polymer or plurality of polymers are biocompatible, incorporating an agent and/or plurality of agents, enabling the release of agent at a controlled rate, wherein the total volume of the polymeric substrate, such as a matrix for example, in some embodiments is optionally and preferably no greater than a maximum volume that permits a therapeutic level of the agent to be reached. As a non-limiting example, such a volume is preferably within the range of 0.1 m³ to 1000 mm³, as required by the volume for the agent load. The Loder may optionally be larger, for example when incorporated with a device whose size is determined by functionality, for example and without limitation, a knee joint, an intra-uterine or cervical ring and the like.

The drug delivery system (for delivering the composition) is designed in some embodiments to preferably employ degradable polymers, wherein the main release mechanism is bulk erosion; or in some embodiments, non degradable, or slowly degraded polymers are used, wherein the main release mechanism is diffusion rather than bulk erosion, so that the outer part functions as membrane, and its internal part functions as a drug reservoir, which practically is not affected by the surroundings for an extended period (for example from about a week to about a few months). Combinations of different polymers with different release mechanisms may also optionally be used. The concentration gradient at the surface is preferably maintained effectively constant during a significant period of the total drug releasing period, and therefore the diffusion rate is effectively constant (termed “zero mode” diffusion). By the term “constant” it is meant a diffusion rate that is preferably maintained above the lower threshold of therapeutic effectiveness, but which may still optionally feature an initial burst and/or may fluctuate, for example increasing and decreasing to a certain degree. The diffusion rate is preferably so maintained for a prolonged period, and it can be considered constant to a certain level to optimize the therapeutically effective period, for example the effective silencing period.

The drug delivery system optionally and preferably is designed to shield the nucleotide based therapeutic agent from degradation, whether chemical in nature or due to attack from enzymes and other factors in the body of the subject.

The drug delivery system as described in US Patent Publication 20110195123 is optionally associated with sensing and/or activation appliances that are operated at and/or after implantation of the device, by non and/or minimally invasive methods of activation and/or acceleration/deceleration, for example optionally including but not limited to thermal heating and cooling, laser beams, and ultrasonic, including focused ultrasound and/or RF (radiofrequency) methods or devices.

According to some embodiments of US Patent Publication 20110195123, the site for local delivery may optionally include target sites characterized by high abnormal proliferation of cells, and suppressed apoptosis, including tumors, active and or chronic inflammation and infection including autoimmune diseases states, degenerating tissue including muscle and nervous tissue, chronic pain, degenerative sites, and location of bone fractures and other wound locations for enhancement of regeneration of tissue, and injured cardiac, smooth and striated muscle.

The site for implantation of the composition, or target site, preferably features a radius, area and/or volume that is sufficiently small for targeted local delivery. For example, the target site optionally has a diameter in a range of from about 0.1 mm to about 5 cm.

The location of the target site is preferably selected for maximum therapeutic efficacy. For example, the composition of the drug delivery system (optionally with a device for implantation as described above) is optionally and preferably implanted within or in the proximity of a tumor environment, or the blood supply associated thereof.

For example the composition (optionally with the device) is optionally implanted within or in the proximity to pancreas, prostate, breast, liver, via the nipple, within the vascular system and so forth.

The target location is optionally selected from the group consisting of (as non-limiting examples only, as optionally any site within the body may be suitable for implanting a Loder): 1. brain at degenerative sites like in Parkinson or Alzheimer disease at the basal ganglia, white and gray matter; 2. spine as in the case of amyotrophic lateral sclerosis (ALS); 3. uterine cervix to prevent HPV infection; 4. active and chronic inflammatory joints; 5. dermis as in the case of psoriasis; 6. sympathetic and sensoric nervous sites for analgesic effect; 7. Intra osseous implantation; 8. acute and chronic infection sites; 9. Intra vaginal; 10. Inner ear—auditory system, labyrinth of the inner ear, vestibular system; 11. Intra tracheal; 12. Intra-cardiac; coronary, epicardiac; 13. urinary bladder; 14. biliary system; 15. parenchymal tissue including and not limited to the kidney, liver, spleen; 16. lymph nodes; 17. salivary glands; 18. dental gums; 19. Intra-articular (into joints); 20. Intra-ocular; 21. Brain tissue; 22. Brain ventricles; 23. Cavities, including abdominal cavity (for example but without limitation, for ovary cancer); 24. Intra esophageal and 25. Intra rectal.

Optionally insertion of the system (for example a device containing the composition) is associated with injection of material to the ECM at the target site and the vicinity of that site to affect local pH and/or temperature and/or other biological factors affecting the diffusion of the drug and/or drug kinetics in the ECM, of the target site and the vicinity of such a site.

Optionally, according to some embodiments, the release of said agent could be associated with sensing and/or activation appliances that are operated prior and/or at and/or after insertion, by non and/or minimally invasive and/or else methods of activation and/or acceleration/deceleration, including laser beam, radiation, thermal heating and cooling, and ultrasonic, including focused ultrasound and/or RF (radiofrequency) methods or devices, and chemical activators.

According to other embodiments of US Patent Publication 20110195123, the drug preferably comprises a RNA, for example for localized cancer cases in breast, pancreas, brain, kidney, bladder, lung, and prostate as described below. Although exemplified with RNAi, many drugs are applicable to be encapsulated in Loder, and can be used in association with this invention, as long as such drugs can be encapsulated with the Loder substrate, such as a matrix for example, and this system may be used and/or adapted to deliver the CRISPR Cas system of the present invention.

As another example of a specific application, neuro and muscular degenerative diseases develop due to abnormal gene expression. Local delivery of RNAs may have therapeutic properties for interfering with such abnormal gene expression. Local delivery of anti apoptotic, anti inflammatory and anti degenerative drugs including small drugs and macromolecules may also optionally be therapeutic. In such cases the Loder is applied for prolonged release at constant rate and/or through a dedicated device that is implanted separately. All of this may be used and/or adapted to the the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system of the present invention.

As yet another example of a specific application, psychiatric and cognitive disorders are treated with gene modifiers. Gene knockdown is a treatment option. Loders locally delivering agents to central nervous system sites are therapeutic options for psychiatric and cognitive disorders including but not limited to psychosis, bi-polar diseases, neurotic disorders and behavioral maladies. The Loders could also deliver locally drugs including small drugs and macromolecules upon implantation at specific brain sites. All of this may be used and/or adapted to the CRISPR Cas system of the present invention.

As another example of a specific application, silencing of innate and/or adaptive immune mediators at local sites enables the prevention of organ transplant rejection. Local delivery of RNAs and immunomodulating reagents with the Loder implanted into the transplanted organ and/or the implanted site renders local immune suppression by repelling immune cells such as CD8 activated against the transplanted organ. All of this may be used/and or adapted to the the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system of the present invention.

As another example of a specific application, vascular growth factors including VEGFs and angiogenin and others are essential for neovascularization. Local delivery of the factors, peptides, peptidomimetics, or suppressing their repressors is an important therapeutic modality; silencing the repressors and local delivery of the factors, peptides, macromolecules and small drugs stimulating angiogenesis with the Loder is therapeutic for peripheral, systemic and cardiac vascular disease.

The method of insertion, such as implantation, may optionally already be used for other types of tissue implantation and/or for insertions and/or for sampling tissues, optionally without modifications, or alternatively optionally only with non-major modifications in such methods. Such methods optionally include but are not limited to brachytherapy methods, biopsy, endoscopy with and/or without ultrasound, such as ERCP, stereotactic methods into the brain tissue, Laparoscopy, including implantation with a laparoscope into joints, abdominal organs, the bladder wall and body cavities.

Implantable device technology herein discussed can be employed with herein teachings and hence by this disclosure and the knowledge in the art, the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR-Cas system or components thereof or nucleic acid molecules thereof or encoding or providing components may be delivered via an implantable device.

The present application also contemplates an inducible CRISPR Cas system. Reference is made to international patent application Serial No. PCT/US13/51418 filed Jul. 21, 2013, which published as WO2014/018423 on Jan. 30, 2014.

In one aspect the invention provides a DNA targeting agent according to the invention as described herein, such as by means of example a non-naturally occurring or engineered CRISPR Cas system which may comprise at least one switch wherein the activity of said CRISPR Cas system is controlled by contact with at least one inducer energy source as to the switch. In an embodiment of the invention the control as to the at least one switch or the activity of said CRISPR Cas system may be activated, enhanced, terminated or repressed. The contact with the at least one inducer energy source may result in a first effect and a second effect.

The first effect may be one or more of nuclear import, nuclear export, recruitment of a secondary component (such as an effector molecule), conformational change (of protein, DNA or RNA), cleavage, release of cargo (such as a caged molecule or a co-factor), association or dissociation. The second effect may be one or more of activation, enhancement, termination or repression of the control as to the at least one switch or the activity of said the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system. In one embodiment the first effect and the second effect may occur in a cascade.

The invention comprehends that the inducer energy source may be heat, ultrasound, electromagnetic energy or chemical. In a preferred embodiment of the invention, the inducer energy source may be an antibiotic, a small molecule, a hormone, a hormone derivative, a steroid or a steroid derivative. In a more preferred embodiment, the inducer energy source maybe abscisic acid (ABA), doxycycline (DOX), cumate, rapamycin, 4-hydroxytamoxifen (4OHT), estrogen or ecdysone.

The invention provides that the at least one switch may be selected from the group consisting of antibiotic based inducible systems, electromagnetic energy based inducible systems, small molecule based inducible systems, nuclear receptor based inducible systems and hormone based inducible systems. In a more preferred embodiment the at least one switch may be selected from the group consisting of tetracycline (Tet)/DOX inducible systems, light inducible systems, ABA inducible systems, cumate repressor/operator systems, 4OHT/estrogen inducible systems, ecdysone-based inducible systems and FKBP12/FRAP (FKBP12-rapamycin complex) inducible systems.

In one aspect of the invention the inducer energy source is electromagnetic energy. The electromagnetic energy may be a component of visible light having a wavelength in the range of 450 nm-700 nm. In a preferred embodiment the component of visible light may have a wavelength in the range of 450 nm-500 nm and may be blue light. The blue light may have an intensity of at least 0.2 mW/cm2, or more preferably at least 4 mW/cm2. In another embodiment, the component of visible light may have a wavelength in the range of 620-700 nm and is red light.

In a further aspect, the invention provides a method of controlling a the DNA targeting agent according to the invention as described herein, such as by means of example a non-naturally occurring or engineered CRISPR Cas system, comprising providing said CRISPR Cas system comprising at least one switch wherein the activity of said CRISPR Cas system is controlled by contact with at least one inducer energy source as to the switch.

In an embodiment of the invention, the invention provides methods wherein the control as to the at least one switch or the activity of said the DNA targeting agent according to the invention as described herein, such as by means of example CRISPR Cas system may be activated, enhanced, terminated or repressed. The contact with the at least one inducer energy source may result in a first effect and a second effect. The first effect may be one or more of nuclear import, nuclear export, recruitment of a secondary component (such as an effector molecule), conformational change (of protein, DNA or RNA), cleavage, release of cargo (such as a caged molecule or a co-factor), association or dissociation. The second effect may be one or more of activation, enhancement, termination or repression of the control as to the at least one switch or the activity of said CRISPR Cas system. In one embodiment the first effect and the second effect may occur in a cascade.

The invention comprehends that the inducer energy source may be heat, ultrasound, electromagnetic energy or chemical. In a preferred embodiment of the invention, the inducer energy source may be an antibiotic, a small molecule, a hormone, a hormone derivative, a steroid or a steroid derivative. In a more preferred embodiment, the inducer energy source maybe abscisic acid (ABA), doxycycline (DOX), cumate, rapamycin, 4-hydroxytamoxifen (4OHT), estrogen or ecdysone. The invention provides that the at least one switch may be selected from the group consisting of antibiotic based inducible systems, electromagnetic energy based inducible systems, small molecule based inducible systems, nuclear receptor based inducible systems and hormone based inducible systems. In a more preferred embodiment the at least one switch may be selected from the group consisting of tetracycline (Tet)/DOX inducible systems, light inducible systems, ABA inducible systems, cumate repressor/operator systems, 4OHT/estrogen inducible systems, ecdysone-based inducible systems and FKBP12/FRAP (FKBP12-rapamycin complex) inducible systems.

In one aspect of the methods of the invention the inducer energy source is electromagnetic energy. The electromagnetic energy may be a component of visible light having a wavelength in the range of 450 nm-700 nm. In a preferred embodiment the component of visible light may have a wavelength in the range of 450 nm-500 nm and may be blue light. The blue light may have an intensity of at least 0.2 mW/cm2, or more preferably at least 4 mW/cm2. In another embodiment, the component of visible light may have a wavelength in the range of 620-700 nm and is red light.

In another preferred embodiment of the invention, the inducible effector may be a Light Inducible Transcriptional Effector (LITE). The modularity of the LITE system allows for any number of effector domains to be employed for transcriptional modulation. In yet another preferred embodiment of the invention, the inducible effector may be a chemical. The invention also contemplates an inducible multiplex genome engineering using CRISPR (clustered regularly interspaced short palindromic repeats)/Cas systems.

Self-Inactivating Systems

Once all copies of a gene in the genome of a cell have been edited, continued CRISRP/Cas9 expression in that cell is no longer necessary. Indeed, sustained expression would be undesirable in case of off-target effects at unintended genomic sites, etc. Thus time-limited expression would be useful. Inducible expression offers one approach, but in addition Applicants have engineered a Self-Inactivating CRISPR-Cas9 system that relies on the use of a non-coding guide target sequence within the CRISPR vector itself. Thus, after expression begins, the CRISPR system will lead to its own destruction, but before destruction is complete it will have time to edit the genomic copies of the target gene (which, with a normal point mutation in a diploid cell, requires at most two edits). Simply, the self inactivating CRISPR-Cas system includes additional RNA (i.e., guide RNA) that targets the coding sequence for the CRISPR enzyme itself or that targets one or more non-coding guide target sequences complementary to unique sequences present in one or more of the following:

(a) within the promoter driving expression of the non-coding RNA elements,

(b) within the promoter driving expression of the Cas9 gene,

(c) within 100 bp of the ATG translational start codon in the Cas9 coding sequence,

(d) within the inverted terminal repeat (iTR) of a viral delivery vector, e.g., in the AAV genome.

Furthermore, that RNA can be delivered via a vector, e.g., a separate vector or the same vector that is encoding the CRISPR complex. When provided by a separate vector, the CRISPR RNA that targets Cas expression can be administered sequentially or simultaneously. When administered sequentially, the CRISPR RNA that targets Cas expression is to be delivered after the CRISPR RNA that is intended for e.g. gene editing or gene engineering. This period may be a period of minutes (e.g. 5 minutes, 10 minutes, 20 minutes, 30 minutes, 45 minutes, 60 minutes). This period may be a period of hours (e.g. 2 hours, 4 hours, 6 hours, 8 hours, 12 hours, 24 hours). This period may be a period of days (e.g. 2 days, 3 days, 4 days, 7 days). This period may be a period of weeks (e.g. 2 weeks, 3 weeks, 4 weeks). This period may be a period of months (e.g. 2 months, 4 months, 8 months, 12 months). This period may be a period of years (2 years, 3 years, 4 years). In this fashion, the Cas enzyme associates with a first gRNA/chiRNA capable of hybridizing to a first target, such as a genomic locus or loci of interest and undertakes the function(s) desired of the CRISPR-Cas system (e.g., gene engineering); and subsequently the Cas enzyme may then associate with the second gRNA/chiRNA capable of hybridizing to the sequence comprising at least part of the Cas or CRISPR cassette. Where the gRNA/chiRNA targets the sequences encoding expression of the Cas protein, the enzyme becomes impeded and the system becomes self inactivating. In the same manner, CRISPR RNA that targets Cas expression applied via, for example liposome, lipofection, nanoparticles, microvesicles as explained herein, may be administered sequentially or simultaneously. Similarly, self-inactivation may be used for inactivation of one or more guide RNA used to target one or more targets.

In some aspects, a single gRNA is provided that is capable of hybridization to a sequence downstream of a CRISPR enzyme start codon, whereby after a period of time there is a loss of the CRISPR enzyme expression. In some aspects, one or more gRNA(s) are provided that are capable of hybridization to one or more coding or non-coding regions of the polynucleotide encoding the CRISPR-Cas system, whereby after a period of time there is a inactivation of one or more, or in some cases all, of the CRISPR-Cas system. In some aspects of the system, and not to be limited by theory, the cell may comprise a plurality of CRISPR-Cas complexes, wherein a first subset of CRISPR complexes comprise a first chiRNA capable of targeting a genomic locus or loci to be edited, and a second subset of CRISPR complexes comprise at least one second chiRNA capable of targeting the polynucleotide encoding the CRISPR-Cas system, wherein the first subset of CRISPR-Cas complexes mediate editing of the targeted genomic locus or loci and the second subset of CRISPR complexes eventually inactivate the CRISPR-Cas system, thereby inactivating further CRISPR-Cas expression in the cell.

Thus the invention provides a CRISPR-Cas system comprising one or more vectors for delivery to a eukaryotic cell, wherein the vector(s) encode(s): (i) a CRISPR enzyme; (ii) a first guide RNA capable of hybridizing to a target sequence in the cell; (iii) a second guide RNA capable of hybridizing to one or more target sequence(s) in the vector which encodes the CRISPR enzyme; (iv) at least one tracr mate sequence; and (v) at least one tracr sequence, The first and second complexes can use the same tracr and tracr mate, thus differeing only by the guide sequence, wherein, when expressed within the cell: the first guide RNA directs sequence-specific binding of a first CRISPR complex to the target sequence in the cell; the second guide RNA directs sequence-specific binding of a second CRISPR complex to the target sequence in the vector which encodes the CRISPR enzyme; the CRISPR complexes comprise (a) a tracr mate sequence hybridised to a tracr sequence and (b) a CRISPR enzyme bound to a guide RNA, such that a guide RNA can hybridize to its target sequence; and the second CRISPR complex inactivates the CRISPR-Cas system to prevent continued expression of the CRISPR enzyme by the cell.

Further characteristics of the vector(s), the encoded enzyme, the guide sequences, etc. are disclosed elsewhere herein. For instance, one or both of the guide sequence(s) can be part of a chiRNA sequence which provides the guide, tracr mate and tracr sequences within a single RNA, such that the system can encode (i) a CRISPR enzyme; (ii) a first chiRNA comprising a sequence capable of hybridizing to a first target sequence in the cell, a first tracr mate sequence, and a first tracr sequence; (iii) a second guide RNA capable of hybridizing to the vector which encodes the CRISPR enzyme, a second tracr mate sequence, and a second tracr sequence. Similarly, the enzyme can include one or more NLS, etc.

The various coding sequences (CRISPR enzyme, guide RNAs, tracr and tracr mate) can be included on a single vector or on multiple vectors. For instance, it is possible to encode the enzyme on one vector and the various RNA sequences on another vector, or to encode the enzyme and one chiRNA on one vector, and the remaining chiRNA on another vector, or any other permutation. In general, a system using a total of one or two different vectors is preferred.

Where multiple vectors are used, it is possible to deliver them in unequal numbers, and ideally with an excess of a vector which encodes the first guide RNA relative to the second guide RNA, thereby assisting in delaying final inactivation of the CRISPR system until genome editing has had a chance to occur.

The first guide RNA can target any target sequence of interest within a genome, as described elsewhere herein. The second guide RNA targets a sequence within the vector which encodes the CRISPR Cas9 enzyme, and thereby inactivates the enzyme's expression from that vector. Thus the target sequence in the vector must be capable of inactivating expression. Suitable target sequences can be, for instance, near to or within the translational start codon for the Cas9 coding sequence, in a non-coding sequence in the promoter driving expression of the non-coding RNA elements, within the promoter driving expression of the Cas9 gene, within 100 bp of the ATG translational start codon in the Cas9 coding sequence, and/or within the inverted terminal repeat (iTR) of a viral delivery vector, e.g., in the AAV genome. A double stranded break near this region can induce a frame shift in the Cas9 coding sequence, causing a loss of protein expression. An alternative target sequence for the “self-inactivating” guide RNA would aim to edit/inactivate regulatory regions/sequences needed for the expression of the CRISPR-Cas9 system or for the stability of the vector. For instance, if the promoter for the Cas9 coding sequence is disrupted then transcription can be inhibited or prevented. Similarly, if a vector includes sequences for replication, maintenance or stability then it is possible to target these. For instance, in a AAV vector a useful target sequence is within the iTR. Other useful sequences to target can be promoter sequences, polyadenlyation sites, etc.

Furthermore, if the guide RNAs are expressed in array format, the “self-inactivating” guide RNAs that target both promoters simultaneously will result in the excision of the intervening nucleotides from within the CRISPR-Cas expression construct, effectively leading to its complete inactivation. Similarly, excision of the intervening nucleotides will result where the guide RNAs target both ITRs, or targets two or more other CRISPR-Cas components simultaneously. Self-inactivation as explained herein is applicable, in general, with CRISPR-Cas9 systems in order to provide regulation of the CRISPR-Cas9. For example, self-inactivation as explained herein may be applied to the CRISPR repair of mutations, for example expansion disorders, as explained herein. As a result of this self-inactivation, CRISPR repair is only transiently active.

Addition of non-targeting nucleotides to the 5′ end (e.g. 1-10 nucleotides, preferably 1-5 nucleotides) of the “self-inactivating” guide RNA can be used to delay its processing and/or modify its efficiency as a means of ensuring editing at the targeted genomic locus prior to CRISPR-Cas9 shutdown.

In one aspect of the self-inactivating AAV-CRISPR-Cas9 system, plasmids that co-express one or more sgRNA targeting genomic sequences of interest (e.g. 1-2, 1-5, 1-10, 1-15, 1-20, 1-30) may be established with “self-inactivating” sgRNAs that target an SpCas9 sequence at or near the engineered ATG start site (e.g. within 5 nucleotides, within 15 nucleotides, within 30 nucleotides, within 50 nucleotides, within 100 nucleotides). A regulatory sequence in the U6 promoter region can also be targeted with an sgRNA. The U6-driven sgRNAs may be designed in an array format such that multiple sgRNA sequences can be simultaneously released. When first delivered into target tissue/cells (left cell) sgRNAs begin to accumulate while Cas9 levels rise in the nucleus. Cas9 complexes with all of the sgRNAs to mediate genome editing and self-inactivation of the CRISPR-Cas9 plasmids.

One aspect of a self-inactivating CRISPR-Cas9 system is expression of singly or in tandam array format from 1 up to 4 or more different guide sequences; e.g. up to about 20 or about 30 guides sequences. Each individual self inactivating guide sequence may target a different target. Such may be processed from, e.g. one chimeric po13 transcript. Pol3 promoters such as U6 or H1 promoters may be used. Pol2 promoters such as those mentioned throughout herein. Inverted terminal repeat (iTR) sequences may flank the Pol3 promoter-sgRNA(s)-Pol2 promoter-Cas9.

One aspect of a chimeric, tandem array transcript is that one or more guide(s) edit the one or more target(s) while one or more self inactivating guides inactivate the CRISPR/Cas9 system. Thus, for example, the described CRISPR-Cas9 system for repairing expansion disorders may be directly combined with the self-inactivating CRISPR-Cas9 system described herein. Such a system may, for example, have two guides directed to the target region for repair as well as at least a third guide directed to self-inactivation of the CRISPR-Cas9. Reference is made to Application Ser. No. PCT/US2014/069897, entitled “Compositions And Methods Of Use Of Crispr-Cas Systems In Nucleotide Repeat Disorders,” published Dec. 12, 2014 as WO/2015/089351.

It will be appreciated that administration of therapeutic entities in accordance with the invention will be administered with suitable carriers, excipients, and other agents that are incorporated into formulations to provide improved transfer, delivery, tolerance, and the like. A multitude of appropriate formulations can be found in the formulary known to all pharmaceutical chemists: Remington's Pharmaceutical Sciences (15th ed, Mack Publishing Company, Easton, Pa. (1975)), particularly Chapter 87 by Blaug, Seymour, therein. These formulations include, for example, powders, pastes, ointments, jellies, waxes, oils, lipids, lipid (cationic or anionic) containing vesicles (such as Lipofectin™), DNA conjugates, anhydrous absorption pastes, oil-in-water and water-in-oil emulsions, emulsions carbowax (polyethylene glycols of various molecular weights), semi-solid gels, and semi-solid mixtures containing carbowax. Any of the foregoing mixtures may be appropriate in treatments and therapies in accordance with the present invention, provided that the active ingredient in the formulation is not inactivated by the formulation and the formulation is physiologically compatible and tolerable with the route of administration. See also Baldrick P. “Pharmaceutical excipient development: the need for preclinical guidance.” Regul. Toxicol Pharmacol. 32(2):210-8 (2000), Wang W. “Lyophilization and development of solid protein pharmaceuticals.” Int. J. Pharm. 203(1-2):1-60 (2000), Charman W N “Lipids, lipophilic drugs, and oral drug delivery-some emerging concepts.” J Pharm Sci. 89(8):967-78 (2000), Powell et al. “Compendium of excipients for parenteral formulations” PDA J Pharm Sci Technol. 52:238-311 (1998) and the citations therein for additional information related to formulations, excipients and carriers well known to pharmaceutical chemists.

Therapeutic formulations of the invention, which include a T cell modulating agent, are used to treat or alleviate a symptom associated with an immune-related disorder or an aberrant immune response. The present invention also provides methods of treating or alleviating a symptom associated with an immune-related disorder or an aberrant immune response. A therapeutic regimen is carried out by identifying a subject, e.g., a human patient suffering from (or at risk of developing) an immune-related disorder or aberrant immune response, using standard methods. For example, T cell modulating agents are useful therapeutic tools in the treatment of cancers.

A therapeutically effective amount of a T cell modulating agent relates generally to the amount needed to achieve a therapeutic objective. The amount required to be administered will furthermore depend on the specificity of the T cell modulating agent for its specific target, and will also depend on the rate at which an administered T cell modulating agent is depleted from the free volume other subject to which it is administered. The T cell modulating agent may be administered in vivo or ex vivo as described herein.

T cell modulating agents can be administered for the treatment of a variety of diseases and disorders in the form of pharmaceutical compositions. Principles and considerations involved in preparing such compositions, as well as guidance in the choice of components are provided, for example, in Remington: The Science And Practice Of Pharmacy 19th ed. (Alfonso R. Gennaro, et al., editors) Mack Pub. Co., Easton, Pa.: 1995; Drug Absorption Enhancement: Concepts, Possibilities, Limitations, And Trends, Harwood Academic Publishers, Langhorne, Pa., 1994; and Peptide And Protein Drug Delivery (Advances In Parenteral Sciences, Vol. 4), 1991, M. Dekker, New York.

Where polypeptide-based T cell modulating agents are used, the smallest fragment that specifically binds to the target and retains therapeutic function is preferred. Such fragments can be synthesized chemically and/or produced by recombinant DNA technology. (See, e.g., Marasco et al., Proc. Natl. Acad. Sci. USA, 90: 7889-7893 (1993)). The formulation can also contain more than one active compound as necessary for the particular indication being treated, preferably those with complementary activities that do not adversely affect each other. Alternatively, or in addition, the composition can comprise an agent that enhances its function, such as, for example, a cytotoxic agent, cytokine, chemotherapeutic agent, or growth-inhibitory agent. Such molecules are suitably present in combination in amounts that are effective for the purpose intended.

Therapy or treatment according to the invention may be performed alone or in conjunction with another therapy, and may be provided at home, the doctor's office, a clinic, a hospital's outpatient department, or a hospital. Treatment generally begins at a hospital so that the doctor can observe the therapy's effects closely and make any adjustments that are needed. The duration of the therapy depends on the age and condition of the patient, the stage of the a cardiovascular disease, and how the patient responds to the treatment. Additionally, a person having a greater risk of developing a cardiovascular disease (e.g., a person who is genetically predisposed) may receive prophylactic treatment to inhibit or delay symptoms of the disease.

The medicaments of the invention are prepared in a manner known to those skilled in the art, for example, by means of conventional dissolving, lyophilizing, mixing, granulating or confectioning processes. Methods well known in the art for making formulations are found, for example, in Remington: The Science and Practice of Pharmacy, 20th ed., ed. A. R. Gennaro, 2000, Lippincott Williams & Wilkins, Philadelphia, and Encyclopedia of Pharmaceutical Technology, eds. J. Swarbrick and J. C. Boylan, 1988-1999, Marcel Dekker, New York.

Administration of medicaments of the invention may be by any suitable means that results in a compound concentration that is effective for treating or inhibiting (e.g., by delaying) the development of a cardiovascular disease. The compound is admixed with a suitable carrier substance, e.g., a pharmaceutically acceptable excipient that preserves the therapeutic properties of the compound with which it is administered. One exemplary pharmaceutically acceptable excipient is physiological saline. The suitable carrier substance is generally present in an amount of 1-95% by weight of the total weight of the medicament. The medicament may be provided in a dosage form that is suitable for oral, rectal, intravenous, intramuscular, subcutaneous, inhalation, nasal, topical or transdermal, vaginal, or ophthalmic administration. Thus, the medicament may be in form of, e.g., tablets, capsules, pills, powders, granulates, suspensions, emulsions, solutions, gels including hydrogels, pastes, ointments, creams, plasters, drenches, delivery devices, suppositories, enemas, injectables, implants, sprays, or aerosols.

Use of Specific Binding Agents

In certain embodiments, the aforementioned methods and techniques may employ agent(s) capable of specifically binding to one or more gene products, e.g., peptides, polypeptides, proteins, or nucleic acids, expressed or not expressed by the immune cells as taught herein. In certain preferred embodiments, such one or more gene products, e.g., peptides, polypeptides, or proteins, may be expressed on the cell surface of the immune cells (i.e., cell surface markers, e.g., transmembrane peptides, polypeptides or proteins, or secreted peptides, polypeptides or proteins which remain associated with the cell surface). Hence, further disclosed are binding agents capable of specifically binding to markers, such as genes or gene products, e.g., peptides, polypeptides, proteins, or nucleic acids as taught herein. Binding agents as intended throughout this specification may include inter alia antibodies, aptamers, spiegelmers (L-aptamers), photoaptamers, protein, peptides, peptidomimetics, nucleic acids such as oligonucleotides (e.g., hybridization probes or amplification or sequencing primers and primer pairs), small molecules, or combinations thereof.

The term “aptamer” refers to single-stranded or double-stranded oligo-DNA, oligo-RNA or oligo-DNA/RNA or any analogue thereof that specifically binds to a target molecule such as a peptide. Advantageously, aptamers display fairly high specificity and affinity (e.g., KA in the order 1×109 M-1) for their targets. Aptamer production is described inter alia in U.S. Pat. No. 5,270,163; Ellington & Szostak 1990 (Nature 346: 818-822); Tuerk & Gold 1990 (Science 249: 505-510); or “The Aptamer Handbook: Functional Oligonucleotides and Their Applications”, by Klussmann, ed., Wiley-VCH 2006, ISBN 3527310592, incorporated by reference herein. The term “photoaptamer” refers to an aptamer that contains one or more photoreactive functional groups that can covalently bind to or crosslink with a target molecule. The term “spiegelmer” refers to an aptamer which includes L-DNA, L-RNA, or other left-handed nucleotide derivatives or nucleotide-like molecules. Aptamers containing left-handed nucleotides are resistant to degradation by naturally occurring enzymes, which normally act on substrates containing right-handed nucleotides. The term “peptidomimetic” refers to a non-peptide agent that is a topological analogue of a corresponding peptide. Methods of rationally designing peptidomimetics of peptides are known in the art. For example, the rational design of three peptidomimetics based on the sulphated 8-mer peptide CCK26-33, and of two peptidomimetics based on the 11-mer peptide Substance P, and related peptidomimetic design principles, are described in Horwell 1995 (Trends Biotechnol 13: 132-134).

Binding agents may be in various forms, e.g., lyophilised, free in solution, or immobilised on a solid phase. They may be, e.g., provided in a multi-well plate or as an array or microarray, or they may be packaged separately, individually, or in combination.

The term “specifically bind” as used throughout this specification means that an agent (denoted herein also as “specific-binding agent”) binds to one or more desired molecules or analytes (e.g., peptides, polypeptides, proteins, or nucleic acids) substantially to the exclusion of other molecules which are random or unrelated, and optionally substantially to the exclusion of other molecules that are structurally related. The term “specifically bind” does not necessarily require that an agent binds exclusively to its intended target(s). For example, an agent may be said to specifically bind to target(s) of interest if its affinity for such intended target(s) under the conditions of binding is at least about 2-fold greater, preferably at least about 5-fold greater, more preferably at least about 10-fold greater, yet more preferably at least about 25-fold greater, still more preferably at least about 50-fold greater, and even more preferably at least about 100-fold, or at least about 1000-fold, or at least about 104-fold, or at least about 105-fold, or at least about 106-fold or more greater, than its affinity for a non-target molecule, such as for a suitable control molecule (e.g., bovine serum albumin, casein).

Preferably, the specific binding agent may bind to its intended target(s) with affinity constant (KA) of such binding KA≥1×10⁶ M⁻¹, more preferably KA≥1×10⁷ M⁻¹, yet more preferably KA≥1×10⁸ M⁻¹, even more preferably KA≥1×10⁹ M⁻¹, and still more preferably KA ≥1×10¹⁰ M⁻¹ or KA≥1×10¹¹ M⁻¹ or KA≥1×10¹² M⁻¹, wherein KA=[SBA_T]/[SBA][T], SBA denotes the specific-binding agent, T denotes the intended target. Determination of KA can be carried out by methods known in the art, such as for example, using equilibrium dialysis and Scatchard plot analysis.

In certain embodiments, the one or more binding agents may be one or more antibodies. As used herein, the term “antibody” is used in its broadest sense and generally refers to any immunologic binding agent. The term specifically encompasses intact monoclonal antibodies, polyclonal antibodies, multivalent (e.g., 2-, 3- or more-valent) and/or multi-specific antibodies (e.g., bi- or more-specific antibodies) formed from at least two intact antibodies, and antibody fragments insofar they exhibit the desired biological activity (particularly, ability to specifically bind an antigen of interest, i.e., antigen-binding fragments), as well as multivalent and/or multi-specific composites of such fragments. The term “antibody” is not only inclusive of antibodies generated by methods comprising immunization, but also includes any polypeptide, e.g., a recombinantly expressed polypeptide, which is made to encompass at least one complementarity-determining region (CDR) capable of specifically binding to an epitope on an antigen of interest. Hence, the term applies to such molecules regardless whether they are produced in vitro or in vivo. Antibodies also encompasses chimeric, humanized and fully humanized antibodies.

An antibody may be any of IgA, IgD, IgE, IgG and IgM classes, and preferably IgG class antibody. An antibody may be a polyclonal antibody, e.g., an antiserum or immunoglobulins purified there from (e.g., affinity-purified). An antibody may be a monoclonal antibody or a mixture of monoclonal antibodies. Monoclonal antibodies can target a particular antigen or a particular epitope within an antigen with greater selectivity and reproducibility. By means of example and not limitation, monoclonal antibodies may be made by the hybridoma method first described by Kohler et al. 1975 (Nature 256: 495), or may be made by recombinant DNA methods (e.g., as in U.S. Pat. No. 4,816,567). Monoclonal antibodies may also be isolated from phage antibody libraries using techniques as described by Clackson et al. 1991 (Nature 352: 624-628) and Marks et al. 1991 (J Mol Biol 222: 581-597), for example.

Antibody binding agents may be antibody fragments. “Antibody fragments” comprise a portion of an intact antibody, comprising the antigen-binding or variable region thereof. Examples of antibody fragments include Fab, Fab′, F(ab′)2, Fv and scFv fragments, single domain (sd) Fv, such as VH domains, VL domains and VHH domains; diabodies; linear antibodies; single-chain antibody molecules, in particular heavy-chain antibodies; and multivalent and/or multispecific antibodies formed from antibody fragment(s), e.g., dibodies, tribodies, and multibodies. The above designations Fab, Fab′, F(ab′)2, Fv, scFv etc. are intended to have their art-established meaning.

The term antibody includes antibodies originating from or comprising one or more portions derived from any animal species, preferably vertebrate species, including, e.g., birds and mammals. Without limitation, the antibodies may be chicken, turkey, goose, duck, guinea fowl, quail or pheasant. Also without limitation, the antibodies may be human, murine (e.g., mouse, rat, etc.), donkey, rabbit, goat, sheep, guinea pig, camel (e.g., Camelus bactrianus and Camelus dromaderius), llama (e.g., Lama paccos, Lama glama or Lama vicugna) or horse.

A skilled person will understand that an antibody can include one or more amino acid deletions, additions and/or substitutions (e.g., conservative substitutions), insofar such alterations preserve its binding of the respective antigen. An antibody may also include one or more native or artificial modifications of its constituent amino acid residues (e.g., glycosylation, etc.).

Methods of producing polyclonal and monoclonal antibodies as well as fragments thereof are well known in the art, as are methods to produce recombinant antibodies or fragments thereof (see for example, Harlow and Lane, “Antibodies: A Laboratory Manual”, Cold Spring Harbour Laboratory, New York, 1988; Harlow and Lane, “Using Antibodies: A Laboratory Manual”, Cold Spring Harbour Laboratory, New York, 1999, ISBN 0879695447; “Monoclonal Antibodies: A Manual of Techniques”, by Zola, ed., CRC Press 1987, ISBN 0849364760; “Monoclonal Antibodies: A Practical Approach”, by Dean & Shepherd, eds., Oxford University Press 2000, ISBN 0199637229; Methods in Molecular Biology, vol. 248: “Antibody Engineering: Methods and Protocols”, Lo, ed., Humana Press 2004, ISBN 1588290921).

As used herein, a “blocking” antibody or an antibody “antagonist” is one which inhibits or reduces biological activity of the antigen(s) it binds. In certain embodiments, the blocking antibodies or antagonist antibodies or portions thereof described herein completely inhibit the biological activity of the antigen(s).

Antibodies may act as agonists or antagonists of the recognized polypeptides. For example, the present invention includes antibodies which disrupt receptor/ligand interactions either partially or fully. The invention features both receptor-specific antibodies and ligand-specific antibodies. The invention also features receptor-specific antibodies which do not prevent ligand binding but prevent receptor activation. Receptor activation (i.e., signaling) may be determined by techniques described herein or otherwise known in the art. For example, receptor activation can be determined by detecting the phosphorylation (e.g., tyrosine or serine/threonine) of the receptor or of one of its down-stream substrates by immunoprecipitation followed by western blot analysis. In specific embodiments, antibodies are provided that inhibit ligand activity or receptor activity by at least 95%, at least 90%, at least 85%, at least 80%, at least 75%, at least 70%, at least 60%, or at least 50% of the activity in absence of the antibody.

The invention also features receptor-specific antibodies which both prevent ligand binding and receptor activation as well as antibodies that recognize the receptor-ligand complex. Likewise, encompassed by the invention are neutralizing antibodies which bind the ligand and prevent binding of the ligand to the receptor, as well as antibodies which bind the ligand, thereby preventing receptor activation, but do not prevent the ligand from binding the receptor. Further included in the invention are antibodies which activate the receptor. These antibodies may act as receptor agonists, i.e., potentiate or activate either all or a subset of the biological activities of the ligand-mediated receptor activation, for example, by inducing dimerization of the receptor. The antibodies may be specified as agonists, antagonists or inverse agonists for biological activities comprising the specific biological activities of the peptides disclosed herein. The antibody agonists and antagonists can be made using methods known in the art. See, e.g., PCT publication WO 96/40281; U.S. Pat. No. 5,811,097; Deng et al., Blood 92(6):1981-1988 (1998); Chen et al., Cancer Res. 58(16):3668-3678 (1998); Harrop et al., J. Immunol. 161(4):1786-1794 (1998); Zhu et al., Cancer Res. 58(15):3209-3214 (1998); Yoon et al., J. Immunol. 160(7):3170-3179 (1998); Prat et al., J. Cell. Sci. III (Pt2):237-247 (1998); Pitard et al., J. Immunol. Methods 205(2):177-190 (1997); Liautard et al., Cytokine 9(4):233-241 (1997); Carlson et al., J. Biol. Chem. 272(17):11295-11301 (1997); Taryman et al., Neuron 14(4):755-762 (1995); Muller et al., Structure 6(9):1153-1167 (1998); Bartunek et al., Cytokine 8(1):14-20 (1996).

The antibodies as defined for the present invention include derivatives that are modified, i.e., by the covalent attachment of any type of molecule to the antibody such that covalent attachment does not prevent the antibody from generating an anti-idiotypic response. For example, but not by way of limitation, the antibody derivatives include antibodies that have been modified, e.g., by glycosylation, acetylation, pegylation, phosphylation, amidation, derivatization by known protecting/blocking groups, proteolytic cleavage, linkage to a cellular ligand or other protein, etc. Any of numerous chemical modifications may be carried out by known techniques, including, but not limited to specific chemical cleavage, acetylation, formylation, metabolic synthesis of tunicamycin, etc. Additionally, the derivative may contain one or more non-classical amino acids.

Simple binding assays can be used to screen for or detect agents that bind to a target protein, or disrupt the interaction between proteins (e.g., a receptor and a ligand). Because certain targets of the present invention are transmembrane proteins, assays that use the soluble forms of these proteins rather than full-length protein can be used, in some embodiments. Soluble forms include, for example, those lacking the transmembrane domain and/or those comprising the IgV domain or fragments thereof which retain their ability to bind their cognate binding partners. Further, agents that inhibit or enhance protein interactions for use in the compositions and methods described herein, can include recombinant peptido-mimetics.

Detection methods useful in screening assays include antibody-based methods, detection of a reporter moiety, detection of cytokines as described herein, and detection of a gene signature as described herein.

Another variation of assays to determine binding of a receptor protein to a ligand protein is through the use of affinity biosensor methods. Such methods may be based on the piezoelectric effect, electrochemistry, or optical methods, such as ellipsometry, optical wave guidance, and surface plasmon resonance (SPR).

The term “antibody-like protein scaffolds” or “engineered protein scaffolds” broadly encompasses proteinaceous non-immunoglobulin specific-binding agents, typically obtained by combinatorial engineering (such as site-directed random mutagenesis in combination with phage display or other molecular selection techniques). Usually, such scaffolds are derived from robust and small soluble monomeric proteins (such as Kunitz inhibitors or lipocalins) or from a stably folded extra-membrane domain of a cell surface receptor (such as protein A, fibronectin or the ankyrin repeat).

Such scaffolds have been extensively reviewed in Binz et al. (Engineering novel binding proteins from nonimmunoglobulin domains. Nat Biotechnol 2005, 23:1257-1268), Gebauer and Skerra (Engineered protein scaffolds as next-generation antibody therapeutics. Curr Opin Chem Biol. 2009, 13:245-55), Gill and Damle (Biopharmaceutical drug discovery using novel protein scaffolds. Curr Opin Biotechnol 2006, 17:653-658), Skerra (Engineered protein scaffolds for molecular recognition. J Mol Recognit 2000, 13:167-187), and Skerra (Alternative non-antibody scaffolds for molecular recognition. Curr Opin Biotechnol 2007, 18:295-304), and include without limitation affibodies, based on the Z-domain of staphylococcal protein A, a three-helix bundle of 58 residues providing an interface on two of its alpha-helices (Nygren, Alternative binding proteins: Affibody binding proteins developed from a small three-helix bundle scaffold. FEBS J 2008, 275:2668-2676); engineered Kunitz domains based on a small (ca. 58 residues) and robust, disulphide-crosslinked serine protease inhibitor, typically of human origin (e.g. LACI-D1), which can be engineered for different protease specificities (Nixon and Wood, Engineered protein inhibitors of proteases. Curr Opin Drug Discov Dev 2006, 9:261-268); monobodies or adnectins based on the 10th extracellular domain of human fibronectin III (10Fn3), which adopts an Ig-like beta-sandwich fold (94 residues) with 2-3 exposed loops, but lacks the central disulphide bridge (Koide and Koide, Monobodies: antibody mimics based on the scaffold of the fibronectin type III domain. Methods Mol Biol 2007, 352:95-109); anticalins derived from the lipocalins, a diverse family of eight-stranded beta-barrel proteins (ca. 180 residues) that naturally form binding sites for small ligands by means of four structurally variable loops at the open end, which are abundant in humans, insects, and many other organisms (Skerra, Alternative binding proteins: Anticalins—harnessing the structural plasticity of the lipocalin ligand pocket to engineer novel binding activities. FEBS J 2008, 275:2677-2683); DARPins, designed ankyrin repeat domains (166 residues), which provide a rigid interface arising from typically three repeated beta-turns (Stumpp et al., DARPins: a new generation of protein therapeutics. Drug Discov Today 2008, 13:695-701); avimers (multimerized LDLR-A module) (Silverman et al., Multivalent avimer proteins evolved by exon shuffling of a family of human receptor domains. Nat Biotechnol 2005, 23:1556-1561); and cysteine-rich knottin peptides (Kolmar, Alternative binding proteins: biological activity and therapeutic potential of cystine-knot miniproteins. FEBS J 2008, 275:2684-2690).

Nucleic acid binding agents, such as oligonucleotide binding agents, are typically at least partly antisense to a target nucleic acid of interest. The term “antisense” generally refers to an agent (e.g., an oligonucleotide) configured to specifically anneal with (hybridize to) a given sequence in a target nucleic acid, such as for example in a target DNA, hnRNA, pre-mRNA or mRNA, and typically comprises, consist essentially of or consist of a nucleic acid sequence that is complementary or substantially complementary to said target nucleic acid sequence. Antisense agents suitable for use herein, such as hybridisation probes or amplification or sequencing primers and primer pairs) may typically be capable of annealing with (hybridizing to) the respective target nucleic acid sequences at high stringency conditions, and capable of hybridizing specifically to the target under physiological conditions. The terms “complementary” or “complementarity” as used throughout this specification with reference to nucleic acids, refer to the normal binding of single-stranded nucleic acids under permissive salt (ionic strength) and temperature conditions by base pairing, preferably Watson-Crick base pairing. By means of example, complementary Watson-Crick base pairing occurs between the bases A and T, A and U or G and C. For example, the sequence 5′-A-G-U-3′ is complementary to sequence 5′-A-C-U-3′.

The reference to oligonucleotides may in particular but without limitation include hybridization probes and/or amplification primers and/or sequencing primers, etc., as commonly used in nucleic acid detection technologies.

Binding agents as discussed herein may suitably comprise a detectable label. The term “label” refers to any atom, molecule, moiety or biomolecule that may be used to provide a detectable and preferably quantifiable read-out or property, and that may be attached to or made part of an entity of interest, such as a binding agent. Labels may be suitably detectable by for example mass spectrometric, spectroscopic, optical, colourimetric, magnetic, photochemical, biochemical, immunochemical or chemical means. Labels include without limitation dyes; radiolabels such as ³²P, ³³P, ³⁵S, ¹²⁵I, ¹³¹I; electron-dense reagents; enzymes (e.g., horse-radish peroxidase or alkaline phosphatase as commonly used in immunoassays); binding moieties such as biotin-streptavidin; haptens such as digoxigenin; luminogenic, phosphorescent or fluorogenic moieties; mass tags; and fluorescent dyes alone or in combination with moieties that may suppress or shift emission spectra by fluorescence resonance energy transfer (FRET).

In some embodiments, binding agents may be provided with a tag that permits detection with another agent (e.g., with a probe binding partner). Such tags may be, for example, biotin, streptavidin, his-tag, myc tag, maltose, maltose binding protein or any other kind of tag known in the art that has a binding partner. Example of associations which may be utilised in the probe:binding partner arrangement may be any, and includes, for example biotin:streptavidin, his-tag:metal ion (e.g., Ni2+), maltose:maltose binding protein, etc.

The marker-binding agent conjugate may be associated with or attached to a detection agent to facilitate detection. Examples of detection agents include, but are not limited to, luminescent labels; colourimetric labels, such as dyes; fluorescent labels; or chemical labels, such as electroactive agents (e.g., ferrocyanide); enzymes; radioactive labels; or radiofrequency labels. The detection agent may be a particle. Examples of such particles include, but are not limited to, colloidal gold particles; colloidal sulphur particles; colloidal selenium particles; colloidal barium sulfate particles; colloidal iron sulfate particles; metal iodate particles; silver halide particles; silica particles; colloidal metal (hydrous) oxide particles; colloidal metal sulfide particles; colloidal lead selenide particles; colloidal cadmium selenide particles; colloidal metal phosphate particles; colloidal metal ferrite particles; any of the above-mentioned colloidal particles coated with organic or inorganic layers; protein or peptide molecules; liposomes; or organic polymer latex particles, such as polystyrene latex beads. Preferable particles may be colloidal gold particles.

In certain embodiments, the one or more binding agents are configured for use in a technique selected from the group consisting of flow cytometry, fluorescence activated cell sorting, mass cytometry, fluorescence microscopy, affinity separation, magnetic cell separation, microfluidic separation, and combinations thereof.

The practice of the present invention employs, unless otherwise indicated, conventional techniques of immunology, biochemistry, chemistry, molecular biology, microbiology, cell biology, genomics and recombinant DNA, which are within the skill of the art. See MOLECULAR CLONING: A LABORATORY MANUAL, 2nd edition (1989) (Sambrook, Fritsch and Maniatis); MOLECULAR CLONING: A LABORATORY MANUAL, 4th edition (2012) (Green and Sambrook); CURRENT PROTOCOLS IN MOLECULAR BIOLOGY (1987) (F. M. Ausubel, et al. eds.); the series METHODS IN ENZYMOLOGY (Academic Press, Inc.); PCR 2: A PRACTICAL APPROACH (1995) (M. J. MacPherson, B. D. Hames and G. R. Taylor eds.); ANTIBODIES, A LABORATORY MANUAL (1988) (Harlow and Lane, eds.); ANTIBODIES A LABORATORY MANUAL, 2nd edition (2013) (E. A. Greenfield ed.); and ANIMAL CELL CULTURE (1987) (R. I. Freshney, ed.).

The practice of the present invention employs, unless otherwise indicated, conventional techniques for generation of genetically modified mice. See Marten H. Hofker and Jan van Deursen, TRANSGENIC MOUSE METHODS AND PROTOCOLS, 2nd edition (2011).

This invention is further illustrated by the following examples which should not be construed as limiting. It is understood that the foregoing description and the following examples are illustrative only and are not to be taken as limitations upon the scope of the invention. Various changes and modifications to the disclosed embodiments, which will be apparent to those of skill in the art, may be made without departing from the spirit and scope of the present invention. Further, all patents, patent applications, and publications identified are expressly incorporated herein by reference for the purpose of describing and disclosing, for example, the methodologies described in such publications that might be used in connection with the present invention. These publications are provided solely for their disclosure prior to the filing date of the present application. Nothing in this regard should be construed as an admission that the inventors are not entitled to antedate such disclosure by virtue of prior invention or for any other reason. All statements as to the date or representation as to the contents of these documents are based on the information available to the applicants and do not constitute any admission as to the correctness of the dates or contents of these documents.

Although the present invention and its advantages have been described in detail, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined in the appended claims.

The present invention will be further illustrated in the following Examples which are given for illustration purposes only and are not intended to limit the invention in any way.

EXAMPLES

IL-27 is a member of the IL-12 family of cytokines that is produced by antigen presenting cells. IL-27 was initially found to promote a Type I pro-inflammatory response; however, emerging evidence suggests that this cytokine plays an important role in the resolution of tissue inflammation (Yoshida, H. & Hunter, C. A. (2015) Annual review of immunology 33, 417-443). IL-27 administration in vivo suppresses the development of effector T cells and inhibits the development of autoimmunity. In contrast, IL-27ra (WSX-1) deficient mice exhibit increased inflammation during Toxoplasma gondii infection and exhibit exacerbated central nervous system autoimmunity (Awasthi, A. et al. 2007; Hirahara, K. et al. 2012; Villarino, A. et al. 2003). Indeed, it has been shown that IL-27 induces IL-10-secreting Type I regulatory (Tr1) cells that are immune suppressive (Awasthi, A. et al. 2007). Moreover, it has been shown that IL-27 induces Tim-3, which has been shown to cooperate with PD-1 in exhausted T cells (Zhu, C. et al. 2015; Sakuishi, et al., 2011). Together these observations raised the possibility that IL-27 may also induce the expression of additional co-inhibitory receptors that cooperate to promote T cell dysfunction.

Data provided herein shows that IL-27 signaling drives the expression of a gene module that includes not only Tim-3, but also LAG-3 and Tigit, molecules that have been previously associated with T cell dysfunction. The inventors identified a large overlap in the IL-27-induced transcriptome and the gene signatures that define dysfunctional T cells in chronic viral infection and cancer. Further, the inventors identified a panel of novel candidate molecules that are induced by IL-27, are associated with T-cell dysfunction, and can be modulated to improve effector T cell responses in vivo. These data define a new role for IL-27 signaling in an inhibitory gene module that sets the stage for the development of a dysfunctional phenotype in T cells and further provide a means by which to identify novel and potentially synergistic targets for therapeutic application in chronic disease settings.

The inventors further realised that modulation of genes or gene products comprised by the gene signatures as taught herein in isolated immune cells can modulate the properties of the cells and thereby provide for advantageous effects, such as increasing or decreasing dysfunctional phenotype of the immune cells, or rendering the immune cells more resistant or more sensitive to becoming dysfunctional, or increasing or decreasing activated phenotype of the immune cells, or rendering the immune cells more resistant or more sensitive to becoming activated. Such modulation can be of value inter alia in therapeutic applications, such as for example but without limitation in ex vivo or allogeneic therapies involving immune cells, such as T cells, such as CD8+ T cells, e.g., CAR-T therapies.

Example 1: Experimental Results

IL-27 Induces a Co-Expressed Set of Co-Inhibitory Receptors Associated with T Cell Dysfunction on CD4 and CD8 T Cells.

Recent studies have demonstrated that IL-27 induces the expression of co-inhibitory cell-surface receptors, such as Tim-3 and PD-L1, on CD4⁺ and CD8⁺ T cells (Hirahara et al., (2012) Immunity 36, 1017-30; Zhu et al., (2015) Nature communications 6, 6072). Together with evidence supporting a key role for IL-27 in driving resolution of tissue inflammation (e.g., Awasthi et al., (2007) Nature immunology 8, 1380-1389; Hirahara et al., (2012) Immunity 36, 1017-30; Stumhofer et al., (2007) Nature immunology 8, 1363-1371; Fitzgerald et al., (2007b) Nature immunology 8, 1372-1379), Applicants hypothesized that IL-27 might induce expression of additional co-inhibitory receptors in T cells. Accordingly, it was examined whether activation of naïve CD4 and CD8 T cells in the presence of IL-27 induced additional co-inhibitory molecules.

Indeed, Applicants found that besides Tim-3 (Havcr2) IL-27 induced at both the mRNA and protein level two additional co-inhibitory molecules associated with T cell dysfunction, Lag-3 and TIGIT (FIG. 1A, FIG. 1B), on CD4⁺ and CD8⁺ T cells. Expression of all three co-inhibitory molecules (Tim-3, Lag-3 and TIGIT) was reduced in IL-27R-deficient T cells, further confirming the importance of IL-27 in driving their expression. Interestingly, while the induction of Tim-3, Lag-3, and TIGIT in vitro was largely dependent on IL-27, PD-1 (Pdcd1) expression was not affected by IL-27 (FIG. 1A, FIG. 1B).

At a population level, co-inhibitory receptors are often co-expressed on dysfunctional T cells in vivo, where the accumulation of co-inhibitory receptor expression has been shown to correlate directly with the degree of dysfunction (Wherry, E. J. and Kurachi, M. (2015) Nature Reviews Immunology 15, 486-499). However, it has not been clear to what extent co-inhibitory receptors are co-expressed at the single cell level. Applicants recently showed with single cell RNA-Seq the co-expression of a module of co-inhibitory receptors (including Tim-3, TIGIT, PD1, Lag-3 and CTLA-4) in CD8⁺ TILs from human melanoma tumors (Tirosh et al., (2016) Science 352, 189-196); however, assessing the functional state of human cells in vivo is challenging. Applicants therefore analyzed single cell RNAseq profiles of 516 CD8 TILs from B16F10 melanoma (Singer et al., companion manuscript) and indeed found that PD-1, Lag3, Tim-3, CTLA-4, 41BB and TIGIT strongly co-vary across single cells, such that cells co-express their transcripts (FIG. 1C).

The observed induction of multiple known co-inhibitory receptors by IL-27 suggested the possibility of shared regulatory elements and co-variant expression on T cells. Indeed, co-inhibitory receptors are often co-expressed on dysfunctional T cells in vivo where the accumulation of co-inhibitory receptor expression has been shown to be proportional to the severity of dysfunctional phenotype. The co-expressed set of co-inhibitory genes is also apparent at the protein level in CD4⁺ and CD8⁺ TILs, as assessed by single-cell mass cytometry (CyTOF, Bendall et al., (2011) Science 332, 687-696; Newell et al., (2012) Immunity 36, 142-152). This technology allows for simultaneous analysis of the expression of up to 30 molecules on a single cell. Applicants developed a custom CyTOF panel that included 15 antibodies against known co-stimulatory and co-inhibitory cell-surface receptors, as well as lineage-defining cell surface markers (Table 15; FIG. 1D), and used it to analyze TILs isolated from B16F10 melanoma tumors from WT and IL-27R knockout mice.

TABLE 15 Ab Metal PD-1 171 Yb Tim-3 141 Pr LAG-3 147 Sm TIGIT 143 Sm CTLA4 175 Yb GITR 174 Yb CD160 143 Nd BTLA 153 Eu Lilrb4 152 Sm ICOS 160 Gd 4-1BB 169 Tm OX40 170 Er SLAMF6 167 Er CD226 168 Er HVEM 175 Lu Thyl.2 156 Gd CD8a 164 Dy CD4 145 Nd IFNg 159 Tb TNFa 148 Nd

Four co-inhibitory receptors (PD-1, LAG3, TIM-3, and TIGIT) had tightly correlated expression on CD8⁺ and CD4⁺ TILs. PD-1, TIM-3, and LAG-3 showed the highest degree of correlation, particularly on CD8⁺ TILs (FIG. 1C and FIG. 1D for CD4+ TILs). K-means clustering of the cells following visualization with a non-linear embedding of the protein expression profiles using t-stochastic neighborhood embedding (t-SNE (Maaten L, (2008) Journal of Machine Learning Research, 2579-2605), Example 2: Methods) showed two discrete groups of CD8⁺ TILs, described herein as clusters 1 and 2. The co-inhibitory receptor quartet (PD-1, LAG3, TIM-3, and TIGIT) was mainly expressed in cells in cluster 1 (FIG. 1E, FIG. 1F,G,H). Additional co-inhibitory receptors, including CD160, CTLA-4, and LILRB4 were expressed on smaller sub-sets of cells within cluster 1 (FIG. 1I). Some known co-stimulatory molecules, particularly those of the TNF-receptor family, such as 4-1BB, OX-40, and GITR, were also co-expressed with the co-inhibitory receptors on cells within cluster 1 (FIG. 1I). In contrast, other co-stimulatory molecules such as ICOS and CD226 were more comparably expressed on cells in both cluster 1 and cluster 2 (FIG. 1I). Thus, cluster 1 is highly enriched for CD8⁺ T cells that express multiple co-inhibitory receptors together with co-stimulatory receptors of the TNF-receptor family.

Notably, cluster 1 was relatively depleted of cells from IL-27ra KO CD8⁺ TILs compared to WT (FIG. 1J, hyperG p-value=5e-23), suggesting that in the absence of IL-27 signaling there are far fewer CD8⁺ TILs with co-expressed co-inhibitory receptors. Applicants further confirmed the reduced proportion of cells that express PD-1, TIM-3, LAG3, TIGIT, and IL-10 on CD8⁺ TILs isolated from IL-27ra KO mice by flow cytometry (FIG. 1K) and in several replicate CyTOF experiments (FIG. 1L). Thus, IL-27 signaling is a key driver of an inhibitory gene module that includes co-inhibitory receptors and IL-10 which are strongly co-expressed in vivo. Of note and in contrast to our in vitro data, Applicants saw that PD-1 expression is dependent on IL-27R signaling in vivo. Together, these data indicate that cluster 1 is highly enriched for cells that express co-inhibitory receptors and found that the TILS identified as cluster 1 is significantly decreased in the absence of IL-27 signaling. This significant reduction of CD8 T cells expressing PD-1, Tim-3, LAG-3, and TIGIT was confirmed in IL-27ra−/− mice using conventional flow cytometry. Together these data indicate that IL-27 signaling is a key driver of a module of co-inhibitory receptors that exhibit a high degree of co-variance in vivo.

IL-27 Driven Inhibitory Molecules Dissect Cluster1-CD8 TILs

The identification of additional co-inhibitory molecules dependent upon IL-27R signaling permitted the further dissection of the subpopulation of cluster1-CD8 TILs based on their function. IL-27R signaling dependent population was overlapped with PD-1 expressing cells. While PD-1 is important for exhaustion (Wherry, E. J., (2011) Nature immunology 12, 492-499), it is also expressed on activated T cells. IL-27 does not induce PD-1 directly. Each inhibitory molecule had a different pattern of expression within cluster1-CD8 T cells, for example PD-1 high CD8 cells produce more IFNg than PD-1 middle cells, but PD-1 high Tim-3 high CD8 T cells produce less TNFa than PD-1 high Tim-3 low cells do. This correlation is further emphasized for PD-1 high Tim-3 high Tigit+ cells. Thus, the accumulation of multiple inhibitory molecules rather than the intensity of a single one on the same cell leads to is a better predictor for stepwise decrease of effector cytokines from CD8 TILs. In general, cluster-2-CD8 TILs, which is enriched for IL27ra KO derived cells, showed a stronger effector function than cluster-1. However, the expression of some co-stimulatory molecules was observed, including 4-1BB co-expressed with several inhibitory molecules; PD-1, Tim-3, Tigit, and CD160 in a part of cluster-1-CD8 TILs where it might represent counter regulation of exhaustion pressures under tumor microenvironment. On the other hand, IL-10 producing cells are also higher in the exhausted phenotype of CD8 T cells in an IL-27R signal dependent manner. IL-10 has been reported to be immunosuppressive in the context of tumor immunity (Hisada, M. et al., (2004) Cancer research 64, 1152-1156). Within the tumor microenvironment, IL-27 signature drives inhibitory molecules that augment deficit of effector cytokines from CD8 T cells. At the same time they are producing IL-10 and further exacerbating the circumstance of immune suppressive environment.

IL-27 Induces a Gene Module that is Present in Other Dysfunctional T Cells and Includes Novel Cell-Surface Molecules

The importance of IL-27 signaling for driving known co-inhibitory receptors both in vitro and in vivo, prompted the inventors to examine whether IL-27 may drive additional and yet unknown molecules that have regulatory function. To examine whether IL-27 may also induce the expression of additional novel inhibitory molecules that could regulate anti-tumor immunity, Applicants used transcriptional profiling to identify a signature of IL-27 dependent genes in wild-type and IL-27ra−/− T cells after stimulation with or without IL-27 at time points selected for optimal expression of known co-inhibitory receptors (Tim-3, Lag-3, and Tigit) on CD4+ and CD8+ T cells. Applicants first measured a 445 gene transcriptional signature (measured by nCounter, Example 2: Methods, Table 16) in WT and IL-27ra KO CD4⁺ and CD8⁺ T cells at 6 times point along a 96 hour time course after activation in the presence or absence of IL-27.

TABLE 16 Transcriptional Gene Signature 1700097N02Rik Ccnl1 Daxx Hif1a Irf5 Ncoa1 Rgs16 Tap1 2310031A07Rik Ccr1 Ddr1 Hip1r Irf7 Nfatc1 Rgs8 Tbx21 2900064A13Rik Ccr2 Dntt Hlx Irf8 Nfatc2 Rora Tcf4 5830405N20Rik Ccr4 Dpp4 Hprt Irf9 NFE2 Rorc Tcf7 6330442E10Rik Ccr5 Drd1 Hsbp1 Isg20 Nfe2l2 Rpp14 Tgfb1 Abcg2 Ccr6 dsc2 Htr1a Itch Nfil3 Runx1 Tgfb3 AchE Ccr8 EBi3 Icos Itga3 Nfkbie Runx2 Tgfbr1 Actin Ccr9 Egr2 Id2 Itgb1 Nfkbiz Runx3 Tgfbr3 Acvr1b Cd160 Eif3e Id3 Jak3 Nkg7 Rxra Tgif1 Acvr2a Cd2 Eif3h Ier3 Jun Nmdar1 Sap30 Tgm2 adam8 Cd200 Elk3 Ifi35 Jup Notch1 Sema4d Tigit Adrb2 Cd226 Emp1 Ifih1 Kat2b Notch2 Sema7a Timp2 Aes Cd247 Eomes Ifit1 Katna1 Nr3c1 Serpinb1a TLE1 Ahr Cd24a Ercc5 Ifitm2 Khdrbs1 Nudt4 Serpinb1b TLE2 Aim1 Cd274 Errfi1 Ifng Klf10 Oas2 serpinb9b TLE3 alox5 Cd28 ETS1 Ifngr2 Klf3 p28 Serpine1 TLE4 Anxa4 Cd36 Etv6 Ifnra1 Klf6 Pbx3 Serpine2 Tmed7 Api5 Cd39 Fas Ifnra2 Klf7 Pcbp2 Sertad1 Tmem119 Aqp3 Cd4 Fasl Igfbp4 Klf9 Pdcd1 Sesn3 Tmem126a Arg1 Cd44 Fasn Ikzf3 Klrd1 Pdcd11 Sgk1 TNFa Arhgef3 Cd5l FGL2 Ikzf4 Klrg1 Pdcd1lg2 Sgta Tnfrsf12a Arid5a Cd70 Fip111 Il10 L1CAM Pdpn SIM1 Tnfrsf13b Arl5a Cd74 Fli1 Il3 Lad1 Peci SIM2 Tnfrsf25 Armcx2 Cd80 Flna Il6st Lag3 Peli2 Skap2 Tnfrsf4 Arnt1 Cd83 Flot1 Il10ra Lamp2 Phlda1 Ski Tnfsf11 Arnt2 Cd86 Foxf1 Il12rb1 Lef1 Plac8 Slamf7 Tnfsf8 Arntl Cd9 Foxm1 Il12rb2 Lgals3bp Plagl1 Slc1a4 Tnfsf9 Atf4 CEACAM1 Foxo1 Il15ra Lif Plek Slc2a1 Tnip2 B4galt1 Cebpb Foxp1 Il17a Lilrb4 Plekhf2 Slc6a4 Tob Bat3 Chat Foxp3 Il17f Litaf Pmepa1 Slc6a6 Toso Batf Chd7 Frmd4b Il17ra Lmnb1 Pml Slc7a3 Tox2 Batf2 ChRM1 Fzd7 Il1r1 LPXN Pomc Smad2 Tph1 Batf3 ChRM3 GABRA1 Il1r2 LRMP Pou2af1 Smad3 Traf3 BC021614 ChRM5 Gad1 Il1rl1 Lrrfip1 Prc1 Smad4 Trat1 Bel11b ChRNA10 Gap43 Il1rn Lsp1 Prdm1 Smad7 Trim24 Bcl2 ChRNA4 Gapdh Il21 Ltf Prf1 Smarca4 Trim25 Bcl2l1 ChRNA9 Gata3 Il21r Ly6c2 Prickle1 Smox Trim30 Bcl2l11 ChRNB2 Gem Il22 Maf Prkca socs2 Trps1 Bcl3 ChRNB4 Gfi1 Il23 Maff Prkd3 Socs3 Tsc22d3 Bcl6 Clcf1 GIMAP5 Il23r Maob Prnp Spp1 Tubb5 Beta Actin Cmtm6 Gja1 Il24 Map3k5 Procr Spry1 Tyh BHLHE40 CMTM6 Glipr1 Il27ra Max Prrx1 Srxn1 Ube3a Bmpr1a Comt GMFG Il2ra Mbnl3 Psmb9 Stard10 Ubiad1 Calca CREBZF gng11 Il2rb Med24 Pstpip1 Stat1 Vav3 Cand1 Csf2 Golga3 Il3 Mgll Ptprj Stat2 Vax2 Casp1 Csnk1a1 Gp130 Il33 Mina Ptprk Stat3 Xbp1 Casp3 Ctla2A Gpr56 Il35 Mkln1 Pxf/Pex19 Stat4 Xrcc5 Casp4 Ctla2b Gpr65 Il4 Mt1 Pycr1 Stat5 ZBTB32 Casp6 CTLA4 Grail Il4ra Mt2 Rab33a Stat5a Zeb1 cbl-b Ctsw Grn IL6 Mta3 rab37 Stat5b Zfp161 ccdc64 Cxcl10 Gusb Il6st Mxi1 Rad51ap1 Stat6 Zfp238 Cel1 Cxcl3 Gzma Il7r Mycl1 Rasgrp1 Sufu Zfp281 Ccl12 Cxcr3 Gzmd Il9 Myd88 Rbpj Sult2b1 Zfp410 Ccl20 Cxcr4 Gzmg Inhba Myst4 Rel Tac1 Ccl4 CxcrS H2-Q10 Irf1 Nampt Rela Tacr1 Ccl5 Cxcr6 Havcr2 Irf4 Ncf1 Rfk Tal2

Optimal expression of these co-inhibitory receptors (Tim-3, Lag-3, and Tigit) was observed at 96 hours for CD4⁺ and 72 hours for CD8⁺ T cells (FIG. 6A,B). Applicants then undertook whole genome mRNA profiling of CD4⁺ and CD8⁺ T cells in the presence of IL-27 at these corresponding timepoints. Applicants identified 1,392 genes that were differentially expressed between WT CD4⁺ T cells stimulated in the presence or absence of IL-27 (Fold change >2 and FDR<0.2) and depended on IL-27 signaling based on IL-27ra KO CD4⁺ T cells. A subset of 118 differentially expressed genes were annotated as cell surface receptors or cytokines. Importantly, several genes known to encode molecules that have been previously shown to have an inhibitory effect on T cells such as, Tim3, Lag3, Inhba, Alcam, CTLA2A as well as, cytokines such as IL10 were among the 118 genes. The subset (FIG. 6C, FIG. 6D) of 118 genes that encode cell surface receptors or cytokines, also included Tim3, Lag3, TIGIT, and IL10. Importantly, CD4⁺ and CD8⁺ T cells showed a similar pattern of differential gene expression (FIG. 6C, E, F).

Strikingly, there is a highly significant overlap between the IL-27-driven gene signature and gene signatures for other T cell states associated with dysfunction, including cancer, chronic viral infection, anergy, and tolerance (FIG. 6G, H, I, J). Specifically, Applicants found a significant overlap with each of the following signatures: (1) a gene signature for dysfunctional T cells in cancer (Singer et al., companion manuscript) defined by comparing PD-1⁺Tim-3⁺ CD8⁺ (DP) TILs (representative of cluster 1 in FIG. 1E), which contain CD8⁺ T cells that exhibit a severe dysfunctional phenotype, to that of PD-1⁻Tim3⁻ CD8⁺ (DN) TILs (representative of cluster 2 in FIG. 1E), which preferentially contain CD8⁺ T cells that have preserved effector function (Sakuishi et al., (2010) The Journal of experimental medicine 207, 2187-2194); (2) a gene signature for dysfunctional T cells from chronic viral infection, from previously published profiles (Doering et al., (2012) Immunity 37, 1130-1144) from virus-specific CD8⁺ T cells isolated from mice infected with either the chronic clone 13 strain or the acute Armstrong strain of LCMV; (3) T cell anergy (Safford et al, (2005) Nature immunology 6, 472-480); and (4) induced T cell tolerance with either antigen-specific (Burton et al., (2014) Nature communications 5, 4741) or non-specific (anti-CD3 antibody) (Mayo et al., (2016) Brain, A journal of Neurology, Advance Access doi:10.1093/brain/aww113, 1-19) stimulation. This overall significant overlap (FIG. 6G), suggests that IL-27 may impact T cell function through one gene module across multiple states of T cell non-responsiveness. In particular, the IL-27-induced co-inhibitory receptors Tim-3, TIGIT, and Lag-3 were shared across at least four of the 5 analyzed signatures. Indeed, blockade of each of these molecules has already been shown to inhibit T cell exhaustion and promote anti-tumor and anti-viral immunity (Johnston et al., (2014) Cancer cell 26, 923-937; Woo et al., (2012) Cancer research 72, 917-927; Sakuishi et al., (2010) The Journal of experimental medicine 207, 2187-2194; Jin et al., (2010) Proc Natl Acad Sci USA 107, 14733-14738; and Blackburn et al., (2009) Nature immunology 10, 29-37.

More specifically, a gene signature for dysfunctional T cells in cancer was generated by comparing the gene expression of PD-1⁺Tim-3⁺ CD8⁺ TILs (representative of cluster 1), which contains CD8+ T cells with severe exhausted phenotype, to that of PD-1⁻Tim3⁻ CD8⁺ TILs (representative of cluster 2), which contains CD8+ T cells that retain good effector function (Sakuishi, et al., (2011) Trends in immunology 32, 345-349). Gene signatures for exhausted T cells were further generated in the chronic LCMV model from publically available gene expression data by comparing virus-specific CD8⁺ T cells from clone13 LCMV infection to virus-specific CD8⁺ T cells from Armstrong LCMV infection (Harker, J. A., et al., (2013) Immunity 39, 548-559). The IL-27-induced module of surface receptors/cytokines was then compared with the signatures for dysfunctional T cells from cancer and chronic viral infection and significant overlap was observed in the number of surface receptors/cytokines across the different data sets. Importantly, it was found that the IL-27 induced co-inhibitory receptors Tim-3 (HAVCR2), Tigit and Lag-3 were shared among the three data sets, supporting the association of IL-27-driven genes to dysfunctional T cell states in vivo. The entire IL-27-induced gene signature was further found to overlap significantly with the gene signatures for dysfunctional T cells from cancer and chronic virus infection as well as other states of T cell non-responsiveness such as anergy and tolerance (p-value <0.01). Of note, several survival factors including IL-21, IL-2Ra, Il6st and IL-7R and activation markers were also found as shared genes, indicating that the IL-27-driven gene module is not merely a collection of co-inhibitory molecules that restrain activated T cells but also factors that regulate the survival of cells in tissue. Together these data strongly point to a key role for IL-27 in driving molecular programs that dampen effector T cell function.

Procr and Pdpn are Novel Co-Inhibitory Receptors Induced by IL-27

Among the 118 surface molecules and cytokines induced by IL-27 (FIG. 6C), some molecules were also highly expressed in specific settings (FIG. 6G), such as in cancer or in chronic viral infection (FIG. 6K), allowing stratification of molecules for additional investigation, based on their uniqueness to specific settings. In particular, two of the IL27-induced surface molecules, Procr (protein C receptor) and Pdpn (podoplanin) were highly expressed in the setting of cancer T cell dysfunction compared to other states of T cell non-responsiveness (FIG. 6K). Applicants confirmed that activation of naïve CD4⁺ and CD8⁺ T cells in vitro in the presence of IL-27 induced the expression of both Procr and Pdpn as determined by qPCR and flow cytometry (FIG. 6L). Furthermore, both Procr and Pdpn were co-expressed with PD-1 and Tim-3 on CD8⁺ TILs and their expression was lost in the absence of IL-27 receptor signaling (FIG. 6M).

Procr is a cell surface receptor known to be expressed on both vascular endothelial cells and tumor cells, where it regulates endothelial cell function and tumor cell migration and invasion, respectively (Mohan Rao et al., (2014) Blood 124, 1553-1562). In the lymphocyte compartment, Procr is expressed on CD4⁺ T cells, particularly Th17 cells (Yosef et al., (2013) Nature 496, 461-468), where it is in co-variance with the regulatory module (Gaublomme et al., (2015) Cell 163, 6, p1400-1412); however its function on CD8⁺ T cells has not been previously explored. Procr⁺ CD8⁺ TILs exhibit a dysfunctional phenotype, producing less TNFα and IL-2 and more IL-10 than Procr-CD8⁺ TILs (FIG. 6N).

To examine the role of Procr in regulating effector CD8⁺ T cell function, Applicants used a Procr hypomorph (Procr^(d/d)) mouse strain (Castellino et al., (2002) Thrombosis and haemostasis 88, 462-472). B16F10 melanoma cells were implanted into Procr⁻ mice and striking inhibition of tumor growth was observed (FIG. 7A). Importantly, CD8⁺ TILs from Procr⁻ mice exhibited enhanced TNFa production, corresponding to enhanced tumor immunity but did not show a significant difference in the expression of other cytokines, including IL-2, IFN-γ and IL-10 (FIG. 7B). Moreover, Procr⁻ TILs exhibited a striking decrease in the frequency of CD8⁺ T cells expressing high levels of Tim-3 and PD-1, suggesting that Procr signaling on CD8⁺ T cells promotes severe dysfunctional phenotype and loss of Procr in the host partially reverses this (FIG. 7C).

Another cell surface molecule Podoplanin (Pdpn) is expressed on several tumor types, in which it has a role in lymphovascular invasion and metastasis (Wicki et al., (2006) Cancer cell 9, 261-272). More recently, it was reported that Pdpn is expressed in effector CD4⁺ T cells where it functions to limit T cell survival in inflamed tissues in an autoimmune setting (Peters et al., (2015) The Journal of clinical investigation 125, 129-140); however, whether Pdpn has a role in tumor-induced CD8⁺ T cell dysfunction is not known. The current data indicate that Pdpn is specifically expressed on CD8⁺ Tim-3⁺PD-1⁺ TILs and marks a population which still has pro-inflammatory cytokine production, but already start producing IL-10. (FIG. 10A).

To analyze the functional role of Pdpn in anti-tumor immunity, Applicants used T-cell specific Pdpn conditional knock-out mice (Pdpn cKO). Mice with Pdpn-deficient T cells showed a significant delay in growth of B16F10 melanoma compared to control mice (FIG. 11A) and Pdpn-deficient CD8⁺ TILs exhibited enhanced IL-2 and TNFa production but no significant difference in IFN-γ and IL-10 production (FIG. 11B). Consistent with these data, lack of Pdpn on T cells was also associated with a decrease in the frequency of CD8⁺ TILs expressing high levels of Tim-3 and PD-1, indicating reduced accumulation of T cells with a severe dysfunctional T cell phenotype (Sakuishi et al., (2010) The Journal of experimental medicine 207, 2187-2194) (FIG. 11C). Moreover, Pdpn-deficient PD-1⁺Tim-3⁺ CD8⁺ TILs had higher expression of IL-7Ra when compared to wild type, as was previously shown (Peters et al., (2015) The Journal of clinical investigation 125, 129-140), indicating that Pdpn may contribute to T cell dysfunction by limiting the survival of CD8⁺ TILs in the tumor microenvironment (FIG. 10B).

CD8⁺ T cells exhibit an exhausted phenotype within the tumor microenvironment, and express multiple co-inhibitory receptors on their surface. Here it is shown that the IL-27 signaling pathway induces multiple known, as well as several heretofore unknown receptors with co-inhibitory function on naïve CD8⁺ T cells. By using global gene expression data and computational approaches to compare the IL-27-driven gene signature to the gene signature of dysfunctional T cells in two chronic disease states, Applicants identified an “inhibitory module” induced by IL-27 that includes known co-inhibitory recpetors (Tim-3, Lag-3, TIGIT), along with 37 novel cell-surface molecules and cytokines. It is shown herein that two of these novel molecules have co-inhibitory function in vivo. These data indicate that IL-27 signaling induces a complex repertoire of inhibitory receptors, each of which can contribute to the exhausted state, thus setting the stage for the development of a dysfunctional effector T cell phenotype.

The inventors further applied this computational approach including gene signatures from several T cell impairment states, such as anergic CD4 T cells, tolerized CD4 T cells following chronic stimulation with subcutaneous antigen, and anti-CD3 stimulated IL-10 producing Foxp3-CD4 T (Tr1) cells compared with to IL-10 non-producing Foxp3-CD4 T cells following nasal tolerance. This approach increased the number of candidates represent regulatory state of IL-27 signature to a total of 57 molecules. Of note, known co-inhibitory molecules; LAG-3, Tim-3, and Tigit were still highly shared genes among data sets, indicating that the IL-27 signature has the potential to introduce general gene module of T cell impairment states.

The inventors identified 2 of the molecules, Pdpn and Procr, as co-inhibitory receptors that suppress tumor immunity and promote a dysfunctional phenotype in TILs cells. It was previously reported that Pdpn regulates IL-7R expression on T cells, which is important for long-term T cell survival (Peters et al., 2015). Studies suggested that exhausted CD8 T cells have a defect in their survival and IL-7R expression, whereas IL-7 antagonized inhibitory networks and promote survival of CD8 T cells (Lang, K. S. et al. (2005) European journal of immunology 35, 738-745; Pellegrini, M. et al. (2009) Nature medicine 15, 528-536). In the current tumor model, loss of Pdpn resulted in recovery of IL-7R expression on PD-1+Tim-3+CD8 T cells. This indicates that there may be antagonism between PDPN and Il-7R expression and therefore affecting IL-7 responsiveness and survival of exhausted T cells.

Lack of Procr signaling had strong impact on losing PD-1⁺Tim-3^(high) CD8 TILs and facilitating tumor immunity. Although the role of Procr on CD8 T cells still needs further analysis, the inventors also found that with mutations of Procr resulted in a loss of the exhausted CD8 T cell phenotype in the chronic model of LCMV infection mice.

The strategy of global screening analysis of IL-27R signaling identified novel biomarkers in the field of T cell exhaustion that facilitated dissection of this functional state and can also be useful for prognosis prediction before and after check-point therapy. Thus, targeting Pdpn and Procr for enhanced tumor immunity has been validated as a potential new check-point therapy.

Prdm1 Partially Regulates the IL-27-Driven Gene Module

Given the observation that individual cells co-express multiple co-inhibitory molecules, many of which are induced by a common stimulus, IL-27, Applicants hypothesized that a common regulator downstream of IL-27 signaling controls this module. Several lines of evidence supported a role for the transcription factor Prdm1 as a common regulator. First, Prdm1 can be induced by IL-27 and is known to regulate IL-10 production in T cells (Newmann et al., (2014) The Journal of experimental medicine 211, 1807-1819). Second, 80% of the genes within the IL-27-driven inhibitory gene module have evidence for binding by Prdm1 in their promoter regions based on ChIP-Seq data from CD8⁺ T cells (Shin et al., (2013) Immunity 39, 661-675) (Example 2: Methods and Resources). Third, the ChIP-Seq evidence was further extended into a validated network model by in vitro functional testing based on gene expression profiles from naïve CD8⁺ T cells from WT and Prdm1-deficient mice stimulated with IL-27. Thus, Prdm1 binds and functionally regulates multiple cell surface molecules and cytokines in the IL-27 driven inhibitory gene module including Tim-3, Tigit, and Lag3 (FIG. 12A). Finally, Prdm1 was not only induced by IL-27 in CD8⁺ cells in vitro but also expressed at higher levels by dysfunctional Tim-3″PD-1⁺ (SP) and Tim-3113-1⁺ (DP) CD8⁺ TILs compared to Tim-3″ PD-F CD8⁺ (DN) TILs that maintain effector function (FIG. 12B).

Applicants thus hypothesized that Prdm1 plays a role in CD8⁺ T cells in vivo in regulating the expression of members of the co-inhibitory gene module and in anti-tumor immunity. To test this, Applicants examined mice with a T cell specific deletion of Prdm1 (Prdm1 cKO) and found that Prdm1-deficient CD8⁺ TILs expressed lower levels of multiple co-inhibitory receptors including Tim-3, PD-1, TIGIT, Lag3, and Procr, but not Pdpn (FIG. 12C). However, despite the overall decreased expression of co-inhibitory receptors in Prdm1 cKO mice, there was no difference in the growth of B16F10 melanoma as compared to wild type controls (FIG. 12D). Thus, the reduction of co-inhibitory receptor expression in Prdm1 cKO mice was not sufficient to completely reverse the dysfunctional phenotype and recover effector T cell responses to promote anti-tumor immunity.

c-Maf Plays an Alternate Role for Regulating Co-Inhibitory Molecules

Since regulatory networks are often dense and inter-connected across multiple, partially redundant regulators (Novershtern et al., (2011) Cell 144, 296-309; Yosef et al., (2013) Nature 496, 461-468), Applicants explored whether other transcriptional regulator(s) may also mediate expression of the co-inhibitory receptor module and could compensate in vivo for the lack of Prdm1. Applicants analyzed gene expression in CD8⁺ TILs from Prdm1 cKO mice using a custom code set of 397 genes representing both the IL-27-driven gene signature (245 genes) and the dysfunctional CD8⁺ TIL gene signature (245 genes) (Example 2: Methods, Table 17). In addition to the expected reduction in the expression of multiple co-inhibitory, including PD-1, Tim-3, Lag3, and Tigit in Prdm1 deficient CD8⁺ TILs relative to wild type T cells (FIG. 13A), only a few genes were consistently induced, including one transcription factor, c-Maf.

TABLE 17 House Tr1 and Cancer Tr1 not in cancer Cancer not in Tr1 Other keeping SPP1 KLHL6 CEBPB GATM EPAS1 ZFP362 CD94 Tubb5 GZME ST6GAL1 JUN P4HA1 PBX3 RAI1 RankL hprt KLRE1 PARP9 HLX ACADL ARNT2 SLC39A8 CD160 actin GZMD CXCR4 FOSL2 SLC7A3 MDFIC HEMGN CD200 gapdh IL1R2 CXCL10 IRF8 FZD7 UHRF2 TNFSF8 CD152 GSTM5 SOCS1 STAT1 IER3 CDKN2B PKD1 CD226 CALCB EPCAM KLF7 IL12RB2 TRPS1 WDR59 CD279 (PD-1) GZMC SOCS3 ATF6 LGALS3 ETV5 STIM2 ICOS MT2 GATSL3 GTF3C5 NFIL3 PABPC1L GSTK1 TNFRSF14 MT1 IGTP NFE2L2 PSTPIP1 NCOR2 GYPC TNFRSF18 MYO10 CDK5R1 NFYB ALCAM GZMD MAPK1IP1 TNFRSF9 PENK DAXX TLE6 LILRB4 GZMF TOX BTLA SPATS2 IFI47 ZKSCAN6 BCL2L11 GLDC SPRY2 NR3C1 SERPINE2 IRF6 MAFF GZMA SERPINB9B REM2 TIGIT SRXN1 TOP1MT STAT3 IL10RA SPIN4 NR4A2 FoxP3 SDCBP2 DHCR24 BATF IL2RB OSGIN1 ELK3 KLRa3 PRF1 STAT5A HIF1A KLRC1 TMPRSS6 BHLHE40 IFNg ENO3 BC006779 IRF4 PTPN1 IGSF5.PCP4 NFATC1 TNFa SYTL3 MTAP STAT4 IL12RB1 TMEM171 PDCD1 IL2 FILIP1 EGR3 FLI1 SIGIRR GABRR1 PKD2 WSX1 AKR1B8 FAM26F RUNX1 BCL2 OSBPL3 NRN1 IL23R OCIAD2 STYK1 GATA3 IL21R CD244 DUSP4 CCR4 RBPJ DUSP16 IRF1 SEMA7A CCRL2 PLSCR1 CCR5 ADAM9 SEMA4C IRF9 IL21 LTF SLC16A11 CCR8 BNIP3 C1QL3 BCL3 CCR5 NSL1 SLC22A15 CCR7 EMILIN2 ITIH5 ETV6 CTLA2A GZMG RAPH1 CXCR3 GEM PHACTR2 ID2 CTLA2B GPR56 GPD2 CCL4 CDK6 TG AHR IL10 RASD2 ATP2B2 CCL5 ANXA2 CSF1 ARID5A SERPINF1 RIPPLY3 NCAM1 Runx2 CCNB1 PADI2 BATF3 DDR1 TMEM119 SLC16A4 eomes PRDM1 CREB3L2 CHD7 SEMA4D DEPDC1A SERPINB6A rorc LITAF TWSG1 MYST4 SERPINB1A ALOX5 FASL rora ABCB9 SERPINA3G SAP30 IFITM3 MSRB3 UBASH3B Foxo3A SLC39A14 PTER CREM MYD88 MGAT3 TNFRSF4 Tcf4 ZBTB32 COPZ2 PML IL17RA ARF2 DUSP3 Tcfe2a BC068157 SERPINB9 ATF3 IL6ST KLHL30 AFF3 Tcf7L1 GALC SERPINB6B ETS1 SGK1 RXRA LEF1 Tcf7L2 AA467197 TBX21 NOTCH1 LAMP2 TCF7 IL1RL2 axin2 EXO1 CASP4 SERTAD1 RERE cysltr1 DENND3 IL2RA GFI1 SSBP2 cysltr2 SLC2A3 NDRG1 JUNB PPP1R13B cysltr3 LPXN TMCC3 KLF6 ZSCAN12 IL33 MXI1 TRPC1 MLLT6 IKBKB bcl6 WDFY1 LANCL3 SP4 TCF12 bcl6b KLF10 GSTT3 TULP4 FOXP1 PLEKHF1 SRGAP3 IRF7 FOXO1 PPP1R3B FAM176B ZFP281 YEATS2 CTSD SH3BGRL SELP TLE4 PKP2 TMEM49 SERPINB5 ZEB1 HAVCR2 KLRD1 TMEM35 PHC2 ADAM8 LPAR3 CH25H ZFP1 IGF2BP2 CIAPIN1 RAB33A RGS10 PIWIL2 PMEPA1 TGM1 LOC100048338.PDLIM1 DAPL1 ST3GAL6 LAG3 PIK3R5 EMB SELL ERO1L TLR1 PDE4B GBP2 GBE1 FGF13 ID3 PLTP GSN IL6RA AB124611 SEMA4F H2-Q10 ARHGEF3 IL7R CAMKK2 HOPX RECK SLAMF6 THA1 PYGL PRICKLE1 SEMA4B FAM65B SELENBP1 ITGB7 SMAD3 GPR114 GZMB RASA3 GPR18 SH3BP5 IMPA2 CD7 ENC1 AQP9 KLRK1 IFIT1 KBTBD8 SATB1 NKG7 IFIT3 AS3MT LPIN1 PLAC8 PIM2 PGS1 SNHG7 ACVRL1 ARHGEF18 EGLN3 PDPN DNTT CHD3 RTP4 PROCR TGFB3 DGKA

c-Maf is a transcription factor, which regulates IL-10 expression (Apetoh et al., 2010), is induced by IL-27 (Awasthi et atl., (2007) Nature immunology 8, 1380-1389), and was reported to drive expression of co-inhibitory molecules (Giordano et al., (2015) EMBO J 34, 2042-2058). Since Prdm1 is also reported to regulate IL-10 expression, Applicants hypothesized that compensatory up-regulation of c-Maf could explain the lack of anti-tumor immunity observed in Prdm1 cKO mice. Supporting this hypothesis, many of the genes in the IL-27-driven inhibitory gene module have a binding motif and a reported binding event for c-Maf within their promoter regions (Ciofani et al., (2012) Cell 151, 289-303).

Indeed, similar to CD8⁺ TILs from Prdm1 cKO mice, CD8⁺ TILs from c-Maf cKO exhibited a decrease in the expression of multiple co-inhibitory receptors, including PD-1, Tim-3, Lag3, and Tigit (FIG. 13B). However, each of the two transcription factors impacted the expression of the various co-inhibitory receptors only partially (FIG. 13C). As in the Prdm1 cKO mice, c-Maf cKO mice did not show any significant difference in growth of B16F10 melanoma as compared to controls (FIG. 13D). Notably, Prdm1 expression in c-Maf cKO derived TILs cells was similar to that in wild type TILs. Thus, Prdm1 is available to drive expression of the inhibitory gene module in the absence of c-Maf.

Prdm1 Together with c-Maf Regulates Co-Inhibitory Receptor Expression and Anti-Tumor Immunity

The analysis indicated that each of Prdm1 and c-Maf contributes to the regulation of co-inhibitory receptor expression. To address the possibility that the two factors act cooperatively to regulate co-inhibitory receptor expression, Applicants generated a new network model for both factors (FIG. 14A). Applicants revised the model originally developed for Prdm1 (FIG. 12A) to incorporate regulation by c-Maf based on previously published c-Maf ChIP data (Ciofani et al., (2012) Cell 151, 289-303) and c-Maf functional targets defined as genes differentially expressed in wild type versus c-Maf cKO CD8⁺ T cell activated in vitro in the presence of IL-27. The expanded network model suggested that Prdm1 and c-Maf bind a large number of shared targets (FIG. 14A, grey arrows), but those shared bound genes are not affected in either individual (single) knockout. This is consistent, among other possibilities, with cooperative (“AND”) regulation (Capaldi et al., (2008) Nat Genet 40, 1300-1306). Furthermore, except for Procr and Tim3, other key module genes (TIGIT, LAG3, IL10, PDPN) are affected only by one of the two factors, even though they are bound by the other, further supporting a non-linear interaction between the two factors.

To test this, Applicants generated mice with a T cell specific deletion in both Prdm1 and c-Maf (Prdm1/c-Maf cDKO). Applicants implanted B16F10 melanoma in Prdm1/c-Maf cDKO mice and examined the expression of the co-inhibitory gene module and effector cytokine production in CD8⁺ TILs. CD8⁺ TILs from Prdm1/c-Maf cDKO mice exhibited a near absence of PD-1, Tim-3, Lag3, Tigit, Pdpn, and Procr expression (FIG. 14B), indicating that Prdm1 and c-Maf functionally co-operate to regulate the expression of co-inhibitory molecules in CD8⁺ TILs. Importantly, Prdm1/c-Maf-deficient CD8⁺ TILs had enhanced IL-2 and TNFα production and markedly reduced IL-10 production (FIG. 14C). Finally, in striking contrast to each single knockout strain, Prdm1/c-Maf cDKO mice showed a significant delay in the growth of B16F10 melanoma as compared to controls (FIG. 14D). Collectively, the data show Prdm1/c-Maf cDKO CD8⁺ TILs exhibit loss of co-inhibitory receptor expression and retain effector function.

Applicant also assessed the functional state of the Prdm1/c-Maf cDKO CD8⁺ TILs, in the context of gene expression signatures developed for T cell dysfunction (Singer et al., companion manuscript) for dysfunction and effector-like states. Applicants performed RNA-seq on CD8⁺ TILs from Prdm1/c-Maf cDKO and CD8⁺ TILs from wild type mice and identified 940 differentially expressed (adj. P. value <0.05, likelihood ratio test and FDR correction). The gene expression pattern of cDKO CD8⁺ TILs strongly overlapped with that of CD8⁺ Tim-3⁻PD-1⁻ TILs as well as effector/memory cells from naïve tumor-free mice (p-value=2.834e-07 and 0.008, respectively, one-sample Kolmogorov-Smirnov test; FIG. 14E and FIG. 15A,B). There was strong evidence for activity of the Foxo1 transcription factor in the cDKO cells including enrichment of genes with Foxo1 binding events (Liao et al., (2014) Bioinformatics 26, 2347-2348). Among the genes up-regulated in cDKO compared to WT (P=1.486e-100, Fisher exact test), induction of the Foxo1 transcript itself, and induction of multiple Foxo1 downstream targets (Ness Michelini et al., (2013) The Journal of experimental medicine 210, 1189-1200), including the transcription factors Lef1, Bach2, Klf2 and Tcf7, as well as downstream targets of Tcf7 (e.g., Ccr7, Sell, and Tnfsf8 (CD30)) (Zhou et al., (2010) Immunity 33, 229-240) were upregulated in cDKO. The up-regulated genes were also enriched for targets of Myc (Kidder et al., (2008) PLoS One 3, e3932) and Stat3 (Kwon et al., (2009) Immunity 31, 941-952), although only Myc was also transcriptionally up-regulated. Importantly, Foxo1, Tcf7, and Myc are also up-regulated in CD8⁺ Tim-3⁻PD⁻1 (DN) TILs compared to dysfunctional PD1⁺ Tim3⁺ TILs (DP) (FIG. 15C). Overall, loss of c-Maf and Prdm-1 preferentially induces a population akin to the DN population, which shares features with both activated effector CD8⁺ and memory T cells (FIG. 14E).

Discussion

Il-27 signaling on naïve T cells induces Il-10, and blocks Th1, Th2 and Th17 differentiation. In an immune suppressive environment, IL-27 up-regulates inhibitory receptors and therefore marks them as dysfunctional. Co-inhibitory receptors play a crucial role in immune regulation and their dysregulated expression contributes to the dysfunctional T cell state in chronic disease conditions. Here, Applicants identify that the immunoregulatory cytokine IL-27 drives a co-inhibitory gene module that includes several known co-inhibitory receptors, including Tim-3, Lag-3, and TIGIT, in addition to the anti-inflammatory cytokine IL-10, and that this gene module strongly overlaps with multiple signatures of dysfunctional or tolerant T cell states. The module includes additional surface receptors that are co-regulated with known co-inhibitory receptors, including Procr and Pdpn, which Applicants show act as novel co-inhibitory receptors that cooperate with other inhibitory receptors to induce T cell dysfunction in the tumor microenvironment. Applicants further identified c-Maf and Prdm1 as key transcriptional regulators downstream of IL-27 that drive the inhibitory gene module. Our data thus provide a framework for understanding the underlying organizational principles by which co-inhibitory molecules are co-expressed and co-regulated in dysfunctional T cells.

Although IL-27 was initially described to have pro-inflammatory properties, its role as a potent immunoregulatory cytokine has come to the forefront in recent years (Awasthi et al., 2007; Fitzgerald et al., 2007b; Hirahara et al., 2012; Stumhofer et al., 2007). IL-27 has been shown to block the differentiation of Th17 cells (Fitzgerald et al., 2007a), and to promote the differentiation of both natural Tregs that specifically suppress Type 1 immunity (Hall et al., 2012) and IL-10 producing regulatory Tr1 cells (Awasthi et al., 2007). Our studies uncover a new mechanism, by which IL-27 inhibits effector T cells through the up-regulation of multiple co-inhibitory receptors on effector T cells, thereby priming them for the development of dysfunctional phenotype.

The IL-27 induced gene module not only includes co-inhibitory receptors but also several co-stimulatory molecules from the TNF-receptor family (4-1BB, OX-40 and GITR). The co-membership of co-inhibitory and co-stimulatory receptors in the IL-27 module provides a rationale for considering the combination of checkpoint receptor blockade with agonists that target TNF-receptor family co-stimulatory receptors. Such a combination could function synergistically by abrogating inhibitory signals (e.g., via blockade of PD-1 signaling), while enhancing co-stimulatory signals (e.g., via activating OX-40) to expand clonotypes that are otherwise inhibited in the tumor microenvironment.

It was recently shown that IL-35, which shares the Ebi3 chain with IL-27, is produced by intratumoral CD4⁺Foxp3⁺ Tregs and that IL-35 promotes co-inhibitory receptor expression on CD8⁺ T cells (Turnis et al., 2016). Treg-specific deletion of Ebi3 resulted in a reduction in tumor growth and a loss of dysfunctional CD8⁺ T cell phenotype. It is possible that IL-35 and IL-27 may synergize to dampen anti-tumor immunity by promotion of co-inhibitory receptor expression and T cell dysfunction in the tumor microenvironment.

The induction of multiple co-inhibitory receptors on the same cell suggests that individual molecules could either potentially regulate distinct aspects of T cell dysfunction, or that signals from multiple molecules could combine additively or non-linearly to enhance the response. Similar to our previous results for CD4⁺ T cells (Peters et al., 2015), Pdpn may regulate T cell survival through inhibition of IL-7Ra expression on CD8⁺ T cells. Indeed, previous studies have shown that dysfunctional CD8⁺ T cells have defects in their survival and IL-7Ra expression (Lang et al., 2005; Pellegrini et al., 2009). In contrast, Procr may preferentially modulate proinflammatory cytokine production. In fact, this property underlies the therapeutic use of Activated protein C, a Procr ligand, to induce protease activated receptor-1 driven NF-kB suppression in acute and chronic inflammatory conditions (Mohan Rao et al., 2014).

Applicants identified two transcription factors, Prdm1 and c-Maf, which co-regulate the expression of the IL-27 module. Prdm1 and c-Maf expression is increased by IL-27R signaling and both are implicated in IL-10 production. CD8⁺ T cells deficient in either transcription factor exhibited decreased expression of multiple co-inhibitory receptors in the IL-27R dependent gene expression module, but for effective anti-tumor immunity, both had to be deleted together from CD8⁺ TILs. Thus, a partial down-regulation of co-inhibitory receptors is not always sufficient to restore effective T cell responses, due to alternative compensatory mechanisms. This has been borne out in a recent study where anti-PD-1 non-responsiveness was due to increased expression of Tim-3 in CD8⁺ TILs (Koyama et al., 2016). Interestingly, the transcriptional signature of TILs from mice deficient for both Prdm1 and c-Maf significantly overlapped that of Tim-3⁻PD-1⁻DN TILs, suggesting that Prdm1 and c-Maf DKO cells resemble cells that normally exist in vivo.

The in vitro defined IL-27 module did not include PD-1; however PD-1 expression was dependent on IL-27R signaling in vivo. PD-1 expression was partially reduced in both Prdm1 cKO and c-Maf cKO CD8⁺ TILs, and nearly lost in Prdm1/c-Maf cDKO, further supporting the dependence of PD-1 expression on IL-27R signaling in vivo. Further analysis for the upstream transcriptional network of Prdm1 and c-Maf may provide additional clues as to why PD-1 expression depends on IL-27R induction in vivo but not in vitro. More generally, the presence of multiple, complex and possibly synergistic inputs into infiltrating T cells in the tumor microenvironment could explain why Applicants cannot fully replicate in vitro the IL-27 circuit that is present in vivo.

In conclusion, the data adds to the mechanisms by which IL-27 signaling can suppress immune responses. IL-27 acts on naïve T cells to induce IL-10 producing Tr1 cells (Awasthi et al., 2007; Stumhofer et al., 2007) and inhibit Th17 differentiation (Batten et al., 2008; Murugaiyan et al., 2009). It acts on Treg to specialize them for suppression of Type 1 immunity. Applicants now show that IL-27 can promote co-inhibitory receptor expression on effector T cells and target them for T cell dysfunction. Our identification of the IL-27-driven gene module further provides a tool with which to identify novel molecules that may play an important role in promoting T cell dysfunction and uncover co-stimulatory molecules that might work together with the co-inhibitory molecules to antagonize T cell dysfunction. The elucidation of the IL-27 driven inhibitory gene module broadens the potential repertoire of therapeutic targets and a molecular basis for understanding the pathways that lead to the dysfunctional T cell state that could constitute mechanisms of resistance to current checkpoint blockade therapies.

Example 2: Methods

Mice: C57BL/6 wild-type (WT), IL-27ra KO (WSX-1−/−), and Prdm1 fl/fl mice were obtained from the Jackson Laboratory (Bar Harbor, Me.). c-Maf fl/fl, Pdpn fl/fl mice and Procr delta/delta mice were previously described (Castellino et al., 2002; Peters et al., 2015; Wende et al., 2012). Pdpn fl/fl mice were initially obtained from Christopher Buckley (Univerity of Birmihngham, Birmingham, UK) and crossed to CD4Cre mice to obtain conditional CD4 and CD8 T cell gene knock-out mice. CD4Cre mice were purchased from Taconic (Hudson, N.Y.). Prdm1 fl/fl and c-Maf fl/fl mice were crossed to CD4Cre mice to generate doubly deficient T cell conditional knockout mice. All experiments were performed in accordance to the guidelines outlined by the Harvard Medical Area Standing Committee on Animals (Boston, Mass.).

Flow Cytometry:

Single cell suspensions were stained with antibodies against CD4 (RM4-5), CD8 (53-6.7), PD-1 (RMP1-30), Lag-3 (C9B7W), TIGIT (GIGD7), and Tim-3 (5D12), Procr (eBio1560), and Pdpn (8.1.1) and were obtained from BioLegend (San Diego, Calif.). Fixable viability dye eF506 (eBioscience) was used to exclude dead cells. For intra-cytoplasmic cytokine staining, cells were stimulated with (PMA) (50 ng/ml, Sigma-Aldrich, MO), ionomycin (1 μg/ml, Sigma-Aldrich, MO). Permeabilized cells were then stained with antibodies against IL-2, TNF-α, IFN-γ or IL-10. All data were collected on a BD LSR II (BD Biosciences) and analyzed with FlowJo software (Tree Star).

In vitro T-cell differentiation: CD4⁺ and CD8⁺ T cells were purified from spleen and lymph nodes using anti-CD4 microbeads (Miltenyi Biotech) then stained in PBS with 0.5% BSA for 15 min on ice with anti-CD4, anti-CD8, anti-CD62L, and anti-CD44 antibodies (all from Biolegend, CA). Naïve CD4⁺ or CD8⁺ CD62L^(high)CD44^(low) T cells were sorted using the BD FACSAria cell sorter. Sorted cells were activated with plate bound anti-CD3 (2 μg/ml for CD4 and 1 μg/ml for CD8) and anti-CD28 (2 μg/ml) in the presence of rmIL-27 (25 ng/ml) (eBioscience). Cells were harvested at various time points for RNA, intracellular cytokine staining, and flow cytometry.

Real-Time PCR:

Total RNA was extracted using RNeasy columns (Qiagen). Reverse transcription of mRNA was performed in a thermal cycler (Bio-Rad) using iScript™ cDNA Synthesis Kit (Bio-Rad). Real-time PCR was performed in the Vii7™ Real-Time PCR system (Applied Biosystems) using the primers for Taqman gene expression (Applied Biosystems). Data was normalized to the expression of ACTB.

Nanostring RNA Analysis:

Expression Profiling Along a Time Course In Vitro.

Naïve CD4⁺ and CD8⁺ T cells isolated from WT and IL-27ra KO mice were activated in vitro with IL-27 stimulation. Cells were collected at 0, 12, 24, 48, 72 and 96 hours and analyzed in 3 replicates, using a custom nanostring code-set containing probes for regulatory genes on T cells (TableS2). Expression values were normalized by first adjusting each sample based on its relative value to all samples. This was followed by subtracting the calculated background (mean.2sd) from each sample with additional normalization by housekeeping geometric mean, where housekeeping genes were defined as: Hprt, Gapdh, Actin and Tubb5.

Expression Profiling of TILs.

Applicants analyzed gene expression in CD8⁺ TILs from Prdm1 or c-Maf cKO mice bearing B16F10 melanoma collected on day 14 after tumor implantation, using a custom code set of 397 genes representing both the IL-27-driven gene signature (245 genes) and the dysfunctional CD8+ TIL gene signature (245 genes) (Table 17). Expression values were normalized as described above. Differentially expressed genes were defined using the function that fits multiple linear models from the Bioconductor package limma in R (Smyth, 2004) with p-value <0.05.

Microarray and Data Analysis:

Naïve CD4⁺ and CD8⁺ T cells were isolated from WT or IL-27ra KO mice, and differentiated in vitro with or without IL-27. Cells were collected at 72 hours for CD8⁺ and 96 hours for CD4⁺ and Affymetrix GeneChip Mouse Genome 430 2.0 Arrays were used to measure the resulting mRNA levels at these time points. Individual CEL files were RMA normalized and merged to an expression matrix using the ExpressionFileCreator of GenePattern with default parameters (Reich et al., 2006). Gene-specific intensities were then computed by taking for each gene j and sample i the maximal probe value observed for that gene. Samples were then transferred to log-space by taking log 2(intensity).

Differentially expressed genes were annotated as genes with fold-change >2 and FDR-corrected ANOVA <0.2 computed between the CD4 with or without IL-27 stimulation (CD4⁺ IL27 and Th0) subpopulations. A list of 972 cell surface/cytokines genes of interest that include: cytokines, adhesion, aggregation, chemotaxis and other cell surface molecules (Table 18) was composed using GO annotation in Biomart.

TABLE 18 DDR1 PAM BMP10 EGFR HYAL5 THBS1 IL9 CKLF CX3CL1 CXCL10 FCER1A EMR4 UMODL1 ARSA RPL13A GRAMD2 PLAT CORIN KLRC3 KLRC1 CD40 ADAM2 IL25 CXCL5 LAMP1 MPP3 EFNA5 SCNN1A RTN4RL2 ENTPD6 CMTM5 PPBP KIT SCNN1G LDLR ACE2 ADAM6A CD164 TNFSF14 PF4 LPL FGFBP1 BACE1 FCGR4 ITGA1 CD320 CLCF1 CXCL3 SDC1 HCST ABCA1 PEAR1 LY6E ENTPD5 IL31 CXCL15 PEBP1 PDGFC FGFR3 CR2 HEG1 CD248 TNFSF13B CXCL1 SLC2A4 ITGAX ADAM17 CD8A FZD10 CAP1 CER1 CXCL2 VCAM1 TLR2 NR3C1 H2-K1 GPR116 AMN FAM3B CXCL11 FGG ACVR2B PDGFRA GREM1 UNC5D SIVA1 BMP8B CCL26 CD24A CD163 EPHA4 ITGAL CHRNA7 TRAF3 BMP8A TRPM4 SCARB1 CD3G ICOS WNT1 GPR174 MS4A6B IL1F8 ARHGEF5 HSPA5 CD37 TGFA AQP4 WNT4 CD47 IL1F9 RETNLG CD9 ICOSL L1CAM KLRA8 KCNH5 ABCB1A IL1F6 RPS19 CD34 TNFRSF11A NCAM1 H2-AB1 TNN IGLL1 IL1F5 FLT1 ADAM9 CD96 ITGA3 BMPR1A LAYN CD160 IL1F10 MYO9B CD83 ENPP1 CRHR2 CD74 DLK1 IDO1 CCL17 CALCA HMGB1 FZD4 TGFBR2 H2-D1 LRP1 PROCR NAMPT PTPRO USP14 TNFRSF13C TNFRSF22 ANXA5 TRPV1 CD2AP IL12B RAC1 IL2RG PDPN SEMA7A SLAMF1 NTRK1 IL18R1 IL22 CXADR CD81 CTLA4 ITGAM PTPRJ CD226 TNFRSF8 ILTIFB PRKCA MIF STAB2 CDH5 AIPL1 GHSR IL8RB IL11 SYK LAMP2 SPAM1 GABBR1 TGFBR3 LBP CXCR5 GRN SLC37A4 MCAM CLEC2D MSR1 CEP290 ITGAE TNFRSF10B IFNB1 AMICA1 HSP90AB1 SELL WNT3A KLHL20 IFNGR1 ABCG2 GM12597 NCKAP1L M6PR C3AR1 ACVR1B NFAM1 CDH1 ICAM4 IFNA14 TGFB2 CD82 IL1R2 TNFRSF23 HMMR C1QBP ENTPD1 IFNA9 EDN3 BGN FLT3 CD3E PSEN2 ADAM3 GYPC IFNA12 EDN2 GABARAPL1 ISG20 FLT3L AMOT THBD CD99L2 IFNA13 S100A8 CRYAB LGALS1 FCER2A IFNG IL7R PRR3 GM13280 S100A9 AIMP1 CD93 PTPRC KLRB1F CD53 SLC3A2 IFNA2 CSF3R PDIA4 TNF SPN PTPRR FCGR3 CAST IFNAB CXCR2 EPCAM CCR1 PLAU CD72 ENPEP NT5E GM13271 ITGA9 SFRP1 BMPR2 CLEC2I CD209B HYAL2 PGP GM13283 PDE4B PLA2G1B CD4 C5AR1 CD8B1 CXCR4 CCND2 GM13290 PDE4D AMBP PROM1 CD200R1 KLRA7 ICAM2 CD3EAP TNFSF11 CORO1A SERPINE2 WNT6 SCN5A CD209A OCLN SCO1 GM13289 LYST BACE2 CD7 CCR5 ROBO4 NCOR2 DARC GM13272 SBDS PTPRU CD274 IL6RA ALCAM IL1R1 SLC44A1 IFNZ CCR2 APOH RTN4R GLRA1 SLC1A3 CD1D1 PTGFRN GM13276 GAS6 DPP4 CD22 TACR1 HSPD1 LY9 NRP GM13277 HRH1 PLG GAB2 CD40LG RYK CD68 LSM1 GM13278 NUP85 ATP5B TREML2 CCR8 GPM6A GPR65 CTSD GM13275 EDNRB ADAM8 P2RX7 TNFRSF18 HSP90AA1 MUC1 PRNP GM13279 ROCK1 CLPTM1 CSF1R GP1BA AGRN NDP GSS GM13285 MSN LY6D TMX3 IL1RL1 LRPAP1 B2M PTPRCAP GM13287 EZR TRPV2 RC3H2 ART1 GPR125 PTGER2 CD2BP2 GM13288 OLR1 HSPA2 PSEN1 IL15RA BOC LY75 PVRL3 IFNA7 FERMT3 LPAR1 TNFRSF4 ITGA6 ITGB1 RAPSN CD200 IFNA11 TNIP1 PDGFRB CD86 GLRB PCSK6 KDR CD302 IFNA6 GCNTI LY6A KLRB1B CR1L ACE AOC3 IFNAR1 IFNA5 PODXL2 TMEM123 DCBLD2 WNT5B ENOX2 KCNE2 TLR1 IFNA4 LEP CD14 EPHA5 ACHE ROBO1 IL27RA CD5L IFNA1 SELPLG ENG SELP ADIPOQ CD48 KLRB1C CCR6 IFNE GOLPH3 H13 LPAR2 EBAG9 MUC3 PDCD1 PEMT CMTM2A CHST4 TNFRSF1A CFTR IRAK1BP1 ITGB4 EPHB4 LAP3 CMTM6 STK10 CAV2 GPR84 TLR3 DSCAML1 SCUBE1 PLXNC1 CMIM7 FN1 F3 APP CNTNAP2 FZD9 IL4 SCARB2 CMTM2B IGHG2C TGFB3 HSPA8 CXCR6 SHH VPREB1 IL13RA1 CMTM8 PLA2G2A RAMP1 TGFB1 EPS8 GHRHR CASR SP1 CMTM3 REG4 SERPINF2 ARNT2 CD3D CD80 LAG3 CD151 CMTM4 F11 FLOT2 KCNE1 KCND2 CCRL2 CXCR3 TNFSF10 C1QTNF4 PTGDS TRPV4 IL17RB CD84 TNFRSF9 CD70 IGSF8 SCGB3A1 KLKB1 IL2RB IL2RA TNFSF9 GPRC6A CD244 TIGIT IL16 OLFM4 CXCL12 CLEC7A FZD5 KLRA1 CX3CR1 LILRB4 IL17D BGLAP2 SLC11A2 HPN HSPB1 FGB PLA2R1 Gene SCG2 SPOCK3 CD28 CD247 FPR2 ADAM10 FGF22 PDCD1LG2 GDF10 C8G CD276 CHRNB2 AGTRAP NRXN1 KLRB1A CTLA2B GDF2 SERPINC1 CALR KLRA5 TFRC REEP4 IL6 CTLA2A PGLYRP1 OLFM1 CD79B ART2B MME CD69 GABRR1 IL12A CCL20 CTRB1 SDC4 IL13 FZD1 XPOT KLRC2 SPP1 INHBA OGN PVRL2 GDI2 GFRA2 RPS6KB1 PDGFB TNFSF18 IL34 C1QTNF7 TJP1 SEMA4D GYPA CD99 MRC1 OSM AREG GPLD1 ITGA2B NTRK2 IL1RN ADCYAP1R1 IL21R LIF TNFSF12 EGF APOA4 FGFR2 HNRNPU PAQR3 KISS1R BMP3 BC096441 IL18BP PLA2G5 WNT7B PAQR4 HFE2 KLRK1 WNT2 TNFSF13 UCMA SYNJ2BP IL17RA IDE AQP11 ITGA2 SLURP1 GDF9 CFI FCGR1 VEGFA THY1 HYAL4 CD33 PRL7D1 IL5 MMP1A GPR97 MFGE8 RALA RSPO2 LY6F GDF1 THPO MMP8 VLDLR TIMP2 CD36 CNRIP1 CD19 CRLF1 CSF2 APOC2 GHR IL4RA TNFRSF13B GUCY2G ITGB2 IL17F IL3 IAPP ADA MRC2 MS4A1 SULF2 FSHR GDF15 BMP4 PTPRG B4GALT1 GPC4 ERP44 CD200R3 FUT4 IL17C CCL24 C8B EPHB6 TRPC1 ITGA5 ULBP1 TDGF1 GDF7 IL2 GIF NRP1 GPR56 PTPRK SCARA5 FOLR1 GDF6 IL21 COL6A2 TRIP10 ITGA4 SLC34A1 ANXA9 LRP6 GDF5 FGF2 C8A CAR4 PTPN11 SORT1 P2RY12 SFRP4 TSLP CSF3 SERPINE3 TLR4 ITGAV WNT7A MUC16 EMR1 GDF3 IL24 MYOC STX2 CHRNA4 CLIC4 APOE CTSL IFNL2 IL20 ADAMTS20 IL12RB1 CIITA ADRB1 INTU STX4A IFNL3 IL19 F7 RAMP2 TREM2 PDIA3 NR4A2 HAVCR2 IL23A IL10 FGF10 THSD1 PTPRT PGRMC1 CD38 AMELX CCL1 BMP5 CTS7 IL15 IL6ST CCR7 ECE1 FOLR2 GREM2 SERPINB10 FCER1G PECAM1 2-Sep FERMT2 FGF8 IL1A CCL21C CTSB HBEGF IL18RAP SLC46A2 ATPIF1 NOTCH2 BMP15 CCL27A WNT9A CD5 KLRA2 JAM3 ISLR2 CD6 IL1B CXCL13 NEPN GPR124 H2-M3 NID2 CNTN2 SLC6A1 IFNK GM21541 POMC ITGA7 CLEC5A CDH13 P2RX2 ADAMTS7 IL27 GM13304 APOD CD97 ANPEP ABCG1 GRIA1 CD27 BMP7 GM13306 PRL3D1 TSPAN32 HHIP S1PR1 H2-AA TNFRSF14 GDF11 CCL28 CEL CAV3 CDON TRPC4 CD200R4 PLAUR EBI3 CCL21B COL25A1 SCNN1B KCNJ3 AXL VWF TREML1 GPI1 GM10591 PRL3B1 HSPA9 MS4A2 BMP2 FCGR2B GPIHBP1 IL7 GM2564 BCHE FURIN ITGB3 ATP6AP2 ACVRL1 GPR160 TNFSF15 CCL27B CNTF TNFRSF12A CD46 IFITM3 SCUBE3 TMEM102 LEFTY2 CCL19 CEACAM10 GPR162 CEACAM2 CD44 TLN1 SLAMF7 LEFTY1 CCL21A SMPD1 ASTN1 GRIN2A PVR TNR ERP29 TNFSF8 XCL1 HPX NOTCH 1 TRPM8 1600029D21RIK SULF1 AAMP CTF1 CXCL16 WFDC1 CXCL9 IL5RA PDLIM2 IRAK2 NLGN2 CTF2 CCL2 TFF2 CAPN5 IL12RB2 ICAM1 GRK5 PTPN3 CSF1 CCL7 FBLN1 TIRAP TMC1 IGF2R WNT5A BTLA IL18 CCL11 SERPINI2 CD59A SLC6A2 IFITM1 RTN4RL1 BSG BMP6 CCL12 TFF1 PDGFA CYSLTR2 FGA NOTCH4 PPFIA2 IL17B CCL8 SEZ6 LPAR3 CD1D2 REEP2 F2R PKD2L1 KITL CCL5 FBLN5 ITGB7 NLGN1 CST8 ACVR2A VTCN1 LTB CCL9 ADCYAP1 CD55 CCR4 ANGPTL3 PCSK9 ROBO2 IL33 CCL6 F5 CD2 IL17A PSTPIP1 P4HB KLRE1 LTA CCL3 CNP TEK GPR98 SLIT2 IL10RA CD52 MSTN CCL4 FASL STRC BCAM GRIN1 MSLN BMP1 CXCL14 SERPINA5 SELE KCNMA1 RGMA KLRD1 EDN1 CCL25 CHRNA1 TNFSF4 BST2 5830411N06RIK FAS NODAL CCL22

Signature Analysis of Other Dysfunctional States:

For viral exhaustion: Microarray dataset (Doering et al., 2012) was downloaded, followed by RMA. A signature of viral exhaustion was defined as the genes that are differentially expressed between chronic and acute viral infection on day 15 and day 30. Genes were ranked based on a t-test statistic and fold change, each gene rank was then adjusted for multiple hypotheses testing using false discovery rate (FDR). A threshold of fold change >1.1 and FDR<0.2 was applied.

For anergy: Data ((Safford et al., 2005), Table 1) were downloaded. 90 genes were reported as upregulated in T cells stimulated in conditions that promote versus inhibit anergy.

For antigen-specific tolerance: Data (Burton et al., 2014) were downloaded. Two groups were defined, group 1 that includes the PBS and 0.008 μg treated samples (treatment number 1) versus group 2-80 μg (treatment number 5 and 6). After Log 2 transformation and quantile normalization, the Limma package was used to estimate the fold changes and standard errors by fitting a linear model for each gene for the assessment of differential expression. Genes with p value <0.05 were selected: 1,845 genes were upregulated of which 88 were defined as cytokine and cell surface molecules (Davis and Meltzer, 2007; Smyth, 2004, 2005).

For antigen non-specific tolerance: Data was downloaded from (Mayo et al., 2016). Robust Multi-array Average (RMA) and quantile normalization were applied for background correction and normalization using the ExpressionFileCreator module of GenePatterns. Differentially expressed genes were defined using signal-to-noise ratio (SNR), following FDR correction. Differentially expressed genes were identified as genes having a FDR<0.2 between mRNA expression profiles of naïve CD4⁺ or CD4⁺ GFP/IL-10⁺ T-cells isolated from the spleen or cLNs of B6NODF1^(IL10:GFP) mice following nasal treatment with anti-CD3 which attenuates the of progressive phase of EAE.

For cancer: Data was obtained from (Singer et al., companion manuscript). Briefly, mRNA samples from CD8⁺Tim3⁻PD1⁻ (DN) TILs, CD8⁺Tim3⁻PD1⁺(SP), and CD8⁺ Tim3⁺PD1⁺ (DP) TILs were measured using Affimetrix GeneChip Mouse Genome 430 2.0 Arrays, expression values were RMA normalized, corrected for batch effects using COMBAT (Johnson et al., 2007) and gene-specific intensities were then computed by using the maximal prob intensity per gene, values were transferred to log-space by taking log 2(intensity). Differentially expressed genes were defined as genes with either an FDR-corrected t-test p-value smaller or equal to 0.2 computed between the DN and DP subpopulations and a fold-change of at least 1.5 between the two subpopulations.

RNA Expression Profiling of Tumor Infiltrating Cells:

Tumor infiltrating CD8⁺ T cells were isolated from WT or IL-27ra KO tumor bearing mice via FACS sorting on a FACSAria (BD Biosciences). Tumor infiltrating CD8⁺ T cells were processed using an adaptation of the SMART-Seq 2 protocol (Tirosh et al., 2016) (Shekhar et al. 2016 in press), using 5 uL of lysate from bulk CD8⁺ T cells as the input for each sample during RNA cleanup via SPRI beads (˜2,000 cells lysed on average in RLT).

RNAseq reads were aligned using Tophat (Trapnell et al., 2009) (mm9) and RSEM-based quantification (Li and Dewey, 2011) using known transcripts (mm9), followed by further processing using the Bioconductor package DESeq in R (Anders and Huber, 2010). The data was normalized using TMM normalization. The TMM method estimates scale factors between samples that can be incorporated into currently used statistical methods for DE analysis. Post-processing and statistical analysis was carried out in R (Li and Dewey, 2011). Differentially expressed genes were defined using the differential expression pipeline on the raw counts with a single call to the function DESeq (adjusted p value <0.1). Heatmap figures were generated using pheatmap package (Kolde, 2015).

Network Construction:

Networks were generated using Cytoscape version 3.2.1 (Lopes et al., 2010). The network model is based on coupling in vitro gene expression data of naïve CD8⁺ T cells from KO (Prdm1 or c-Maf) and WT controls stimulated in the presence of IL-27 and previously published ChIPseq data for that specific regulator. More specifically, samples were analyzed using a custom code set of 397 genes representing both the IL-27-driven gene signature (245 genes) and the dysfunctional CD8+ TIL gene signature (245 genes) (Table 17). Differentially expressed genes between WT control and KO were defined using the function that fits multiple linear models from the Bioconductor package limma in R (Smyth, 2004) with p-value <0.05. For the ChIP-Seq evidence Applicants used published Prdm1 (Shin et al., 2013) and c-Maf (Ciofani et al., 2012) published binding events dataset. In the network presentation, Applicants selected the 61 genes that are part of the IL-27 inhibitory module (FIG. 6G).

Single-Cell RNA-Seq:

Briefly, tumor infiltrating lymphocytes from B16 melanomas were sorted into 96-well plates with 5 μl lysis buffer comprised of Buffer TCL (Qiagen) plus 1% 2-mercaptoethanol (Sigma). Plates were then spun down for one minute at 3000 rpm and immediately frozen at −80° C. Cells were thawed and RNA was isolated with 2.2×RNAClean SPRI beads (Beckman Coulter Genomics) without final elution (Shalek et al., 2013). The beads were then air-dried and processed immediately for cDNA synthesis. Samples were then processed using the Smart-seq2 protocol (Picelli et al., 2014), with minor modifications applied to the reverse transcription (RT) step. This was followed by making 25 μl reaction mix for each PCR and performed 21 cycles for cDNA amplification. Then, using 0.25 ng cDNA of each cell and ¼ of the standard Illumina NexteraXT reaction volume in both the tagmentation and final PCR amplification steps. Finally, plates were pooled to 384 single-cell libraries, and sequenced 50×25 paired-end reads using a single kit on the NextSeq500 5 instrument.

Single-Cell Analysis:

Briefly, paired reads were mapped to mouse annotation mm10 using Bowtie (Langmead et al., 2009) (allowing a maximum of one mismatch in seed alignment, and suppressing reads that had more than 10 valid alignments) and TPMs were computed using RSEM (Li and Dewey, 2011), and log 2(TPM+1) values were used for subsequent analyses.

Tumor Experiments:

5×10⁵ B16F10 melanoma cells (ATCC) were implanted into the right flank of C57BL/6 mice. Tumor size was measured in two dimensions using a caliper. TILs were isolated by dissociating tumor tissue in the presence of 2.5 mg/ml collagenase D for 20 min before centrifugation on a discontinuous Percoll gradient (GE Healthcare). Isolated cells were then used in various assays of T cell function.

CyTOF Analysis:

Antibodies were labeled using MaxPar® Metal Labeling Kits (DVS) by The Longwood Medical Area CyTOF Antibody Resource and Core. In some experiments, TILs were enriched using Dynabeads FlowComp Mouse Pan T (CD90.2) Kit (Invitrogen). Cells were washed and resuspended in CyTOF PBS (PBS+0.05% sodium azide+0.5% BSA) and stained with the cocktail of antibodies against cell-surface molecules for 30 min. Cells were washed again and resuspended in CyTOF PBS with 4% paraformaldehyde. After 10 min fixation, cells were washed and stained with Cell-ID intercalators (DVS) overnight. Before analysis, cells were resuspended in water with beads and loaded to the CyTOF® Mass Cytometer (DVS). CyTOF data were recorded in dual-count according to Fluidigm's recommended settings and the analysis was done on the fly.

To obtain clusters of cells similar in their protein expression patterns, cells were clustered using k-means algorithm. Optimal cluster number was estimated using the within groups sum of squared error (SSE) plot followed by gap statistics with bootstrapping and first SE max method. These methods suggested 9 clusters as optimal in the multidimensional space. Applying k-means clustering with (k=9) on our CyTOF data, resulted in clear distinction between cluster 1 and cluster 2 of the CD8⁺ cells. This separation could be further visualized by two-dimensional non-linear embedding of the protein expression profiles using t-stochastic neighborhood embedding (t-SNE (Maaten L, 2008)). The t-SNE plot can then be overlaid by k-means clustering results to reflect a non-biased approach to the clusters or with intensity of the different markers.

Example 3: CD39 Regulates Dysfunction in CD8+ TILs and Marks a Novel Population with an Altered Functional Phenotype

CD39 (also known as ectonucleoside triphosphate diphosphohydrolase-1) is encoded by the gene ENTPD1. It is a cell surface protein with an extracellular catalytic site that catalyzes the hydrolysis of various P2 receptor ligands, including ATP, ADP, UTP and other phosphate containing molecules. The enzymatic activities of CD39, in conjunction with CD73, play a role in calibrating the duration, magnitude, and chemical nature of purinergic signals delivered to immune cells. As disclosed herein, CD39 and up-regulation of ENTPD1 is associated with several dysfunctional T cell states.

Applicants postulated that CD39 (i.e. ENTPD1) may be involved in regulating CD8⁺ T cell dysfunction. Applicants can validate that CD39 performs important functions for inducing T cell dysfunction, and more specifically, can determine whether modulating CD39 in T cells provides an enhanced immune response in cancer.

In a certain example, Applicants characterize CD39 expression and its associated function in CD8⁺ WT tumor-bearing mice. TILs (tumor infiltrating lymphocytes) are isolated from the mice and expression is determined. Cells may be sorted and sequenced in bulk or single cells may be sequenced. CD39 may be expressed on a subpopulation of CD8 T cells having a signature of dysfunction as described herein or a signature of dysfunction previously described (Singer et al., Cell, Vol 166, Issue 6, p1500-1511.e9, 8 Sep. 2016). The dysfunctional subpopulation may be found in TILs, but not in tumor draining lymph node.

In a certain example, cytokine expression in CD39-expressing CD8⁺ TILs is examined to determine whether the CD39 expression correlates with CD8⁺ T cell function. This result may determine whether CD39 CD8 TILs are not only poorly functional as measured by a dysfunctional signature, but they may also actively produce suppressive cytokines and contribute to suppression locally in the tumor microenvironment. Suppressive cytokines may include, but are not limited to IL-10.

Applicants can determine whether CD39 is a regulator of the suppressive function of dysfunctional CD8⁺ T cells in cancer. In a certain example, CD39 WT or knockout CD8⁺ T cells are assessed for their ability to influence effector T cell proliferation using a suppression assay, such that CD39^(−/−) TILs fail to suppress effector T cell proliferation compared to WT dysfunctional TILs.

In a certain example, to directly analyze the functional role of CD39 in regulating CD8⁺ T cell dysfunction, a lentiviral CRISPR/cas9 targeting approach is used to knockout CD39 in T cells. In a certain example, naïve transgenic pmel CD8⁺ T cells are used. Control or CD39 CRISPR lentiviruses are transduced into CD8⁺ T cells isolated from PMEL transgenic mice in which all T cells have a single tumor antigen specific TCR with specificity for the mouse homologue of the human premelanosome protein. PMEL CD8⁺ T cells are normally ineffective at controlling growth of B16F10 melanoma tumors, such that perturbations that promote tumor clearance can be readily discerned. Control or CD39-targeted (deleted, i.e., CD39^(−/−)) pmel CD8⁺ T cells are activated and equal numbers of cells are transferred into WT mice with established B16F10 melanoma tumor. Mice are then followed for tumor growth. Efficiency of CD39 deletion may be determined by quantitative real time PCR. The transfer of CD39^(−/−) pmel CD8⁺ T cells is expected to significantly delay tumor growth in WT mice.

Upon transfer into WT hosts, CD39^(−/−) pmel CD8⁺ T cells may produce a higher percent of poly-functional IL-2 and IFNg-producing cells, consistent with a less dysfunctional phenotype compared to control WT pmel CD8⁺ T cells. Accordingly, the transfer of CD39^(−/−) pmel CD8⁺ T cells may delay tumor growth in WT mice. These data may support a role for CD39 as a regulator of the CD8⁺ T cell dysfunction program that contributes to poor tumor control.

In a certain example, Applicants can further demonstrate that tumor growth is significantly reduced or abolished in CD39^(−/−) KO mice, and that splenic CD39^(−/−) CD8⁺ T cells from CD39^(−/−) KO mice harboring a tumor has a reduction in tumor size when transferred into tumor harboring wild type animals. In particular, WT or CD39^(−/−) mice are implanted with B16-F10 tumor subcutaneously. At day 18, CD8 and CD4 T cells are isolated from the spleens of WT and CD39^(−/−) mice and transferred into WT host mice which are subsequently injected with B16-F10 tumor subcutaneously. Tumor growth is then followed.

A CRISPR/cas9 targeting approach is also used to knockout CD39 followed by RNA-seq to determine gene networks regulated by CD39.

Turning to FIG. 17, Applicants show that CD39 is co-expressed with PD-1+Tim3+CD8 T cells and blocking antibody slightly suppress tumor growth (B16 melanoma).

Example 4: Therapeutic Modulation of CD39

In a certain example, modulation of CD39 is used in the treatment of cancer in a patient in need thereof. In a certain example, Applicants modulate expression or activity of CD39 in autologous T cells obtained from a patient in need thereof to perform adoptive cell transfer. The autologous T cells may be made resistant to exhaustion or exhausted T cells are activated by knockdown or knockout of expression or activity of CD39. Additionally, activity or expression of CD39 is modulated in CAR T cells. T cells may be modulated ex vivo and transferred to a patient by any method described herein.

In a certain example, Applicants target dysfunctional CD8⁺ T cells in vivo in a patient in need thereof suffering from cancer, such that T cells expressing CD39 are targeted with a therapeutic composition with specific affinity for CD39. The therapeutic composition may be an antibody, such as but not limited to an antibody drug conjugate. Effective tumor control may be provided by removing dysfunctional T cells in the tumor microenvironment, thus enhancing immunity and decreasing suppression.

Example 5: Experimental Procedures for Verifying Activity of CD39 Mice

6-8 week old female Balb/c, C57BL/6, pmel transgenic, and OTI transgenic mice are purchased from the Jackson Laboratory.

Tumor Experiments

B16F10 (5×10⁵) are implanted subcutaneously into the right flank. Tumor size was measured in two dimensions by caliper and is expressed as the product of two perpendicular diameters. For adoptive transfer tumor experiments, tumor cells are implanted five days prior to intravenous injection of T cells. Naïve)(CD8⁺ CD62L⁺CD44^(lo)) T cells from PMEL (for crispr/cas9 targeting experiments) are isolated by cell sorting (BDFACS Aria) and activated by 2 μg/ml each of plate-bound anti-CD3 and anti-CD28 antibodies for 48 hours, rested for 3 days, and then reactivated with 1 ug/ml of anti-CD3 and anti-CD28 antibodies for 2 days prior to transfer into recipient mice. Retroviral and lentiviral infections of primary T cells are optimized and experiments are performed as described herein. Briefly, retrovirus is used to spin-infect T cells one day after activation and lentivirus is used to infect T cells twice, at 16 hours prior to activation and at 4 hours post activation. Targeting efficiency of retrovirus is determined by measuring GFP expression; whereas effective CRISPR/cas9-mediated deletion of the target gene using lentivirus is determined by qPCR.

Isolation of Tumor Infiltrating Lymphocytes.

Tumor infiltrating lymphocytes are isolated by dissociating tumor tissue in the presence of collagenase D (2.5 mg/ml) for 20 min prior to centrifugation on a discontinuous Percoll gradient (GE Healthcare). Isolated cells are then used in various assays of T cell function. Cells are cultured in DMEM supplemented with 10% (vol/vol) FCS, 50 μM 2-mercaptoethanol, 1 mM sodium pyruvate, nonessential amino acids, L-glutamine and 100 U/ml penicillin and 100 μg/ml streptomycin.

Flow Cytometry

Single cell suspensions are stained with antibodies against surface molecules. CD4 (RM4-5), CD8 (53-6.7), and PD-1 (RMP1-30) antibodies are purchased from BioLegend. Tim-3 (5D12) antibody is generated in house. Fixable viability dye eF506 (eBioscience) is used to exclude dead cells. For intra-cytoplasmic cytokine staining, cells are stimulated with 12-myristate 13-acetate (PMA) (50 ng/ml, Sigma-Aldrich, MO), ionomycin (1 μg/ml, Sigma-Aldrich, MO) in the presence of Brefeldin A (Golgiplug, BD Bioscience) for four hours prior to staining with antibodies against surface proteins followed by fixation and permeabilization and staining with antibodies against IL-2 (JES6-5H4), TNF-α (MP6-XT22), IFN-γ (XMG-1.2) (eBioscience), and Granzyme B (GB11) (Biolegend). For measurement of intracellular zinc, cells are stained with 1 μM Zinpyr-1 (Sigma) in PBS for 20 min at 37 deg, washed with media, followed by regular surface staining. All data are collected on a BD LsrII (BD Biosciences) and analyzed with FlowJo software (Tree Star).

Generation of Lentiviral Constructs Using CRISPR/CAS9 Targeting.

The initial guide sequences are selected based on the exon structure of target genes (i.e. ENTPD1) and ranked by the repertoire of potential off-target sites to select designs that minimize the possibility of off-target cleavage. The guides are then cloned into CRISPR-Cas9 vectors via golden-gate cloning as described previously (Cong et al., 2013, Science 339, 819-823). The vector used is a lenti-viral vector, pCKO_2, bearing mammalian-codon-optimized SaCas9 linked to puromycin selection cassette (Ran et al., 2015, Nature 520, 186-191; Shalem et al., 2014, Science 343, 84-87), and an sgRNA-expression cassette that is modified to enhance RNA expression. The constructs are sequence verified and tested to screen for the efficiency against ENTPD1 using a mouse T-lymphocyte cell line, EL4 (ATCC) before moving on to lentiviral production. To quantify the genomic modification induced by the CRISPR-Cas9 system, genomic DNA is extracted using QuickExtract Solution (Epicentre), as described previously (Cong et al., 2013, supra). Indel formation is measured by either SURVEYOR nuclease assay (IDT DNA) or targeted deep sequencing as described previously (Cong et al., 2013, supra). Briefly, the genomic region around the CRISPR-Cas9 targeting site (i.e. ENTPD1) is amplified, and then subject to either SURVEYOR nuclease digestion following re-annealing or re-amplified to add on Illumina P5/P7 adapters with barcodes for deep-sequencing analysis using the MiSeq sequencing system (Illumina).

After screening of guides in cell lines, the top-ranked guides based on their targeting efficiency for ENTPD1 are used for viral production. 293FT cells (Thermo Fisher) are maintained as recommended by the manufacturer in 150 mm plates. For each transfection, 10 μg of pVSVG envelope plasmid, 15 μg of pDelta packaging plasmids, and 20 μg of pCKO_2 vector carrying the construct of interest are used. The transfection is either carried out using lipofectamine 2000 (Thermo Fisher) following the manufacturer's recommendations, or with PEI, where 5:1 ratio of PEI solution is added to the DNA mixture, and incubated for 5 minutes before adding the final complex onto cells. After incubation for 16 hours, 20 mL of fresh warm media is applied to replace the old growth media. Virus is harvested between 48 h and 72 h post transfection by taking the supernatant and pelleting cell debris via centrifugation. The viral particles are then filtered through a 0.45 μm filtration system (Millipore), and then either directly used as purified supernatant, or concentrated further with 15-mL Amicon concentrator (Millipore). Lentiviral vectors are titered by real-time qPCR using a customized probe against the transgene.

For all primary T-cell experiments, the efficacy of the CRISPR-Cas9 lentiviral vectors is first tested by transducing in vitro primary mouse T-cell culture, followed by cleavage measurement and qPCR detection of target gene knock-down. The most efficient viral constructs are then used for downstream experiments.

Example 6: ILT-3 (LILRB4) Regulates Dysfunction in CD8⁺ TILs and Marks a Novel Population with an Altered Functional Phenotype

Applicants postulated that ILT-3 (immunoglobulin-like transcript 3)—also known as Lilrb4 (leukocyte immunoglobulin like receptor B4)—a member of the leukocyte immunoglobulin-like receptor (LIR) family, may be involved in regulating CD8⁺ T cell dysfunction. As demonstrated herein, Applicants validated that Lilrb4 performs important functions in T cells. Particularly, the data presented herein demonstrates that Lilrb4 and/or its ligands have a role in regulating the differentiation and function of Th17 cells and in regulating dysfunction of CD8+ T cells in the tumor microenvironment. Without being bound by theory, Applicants believe that modulating these molecules is beneficial for the treatment of diseases or conditions involving dysfunctional T cells including multiple sclerosis, and providing an enhanced immune response in cancer.

In a certain example, Applicants characterize Lilrb4 expression and its associated function in CD8⁺ WT tumor-bearing mice. TILs (tumor infiltrating lymphocytes) are isolated from the mice and expression is determined. Cells may be sorted and sequenced in bulk or single cells may be sequenced. Lilrb4 may be expressed on a subpopulation of CD8 T cells having a signature of dysfunction as described herein or a signature of dysfunction previously described (Singer et al., Cell, Vol 166, Issue 6, p1500-1511.e9, 8 Sep. 2016). The dysfunctional subpopulation may be found in TILs, but not in tumor draining lymph node.

Non-limiting examples of human ILT-3 mRNA transcript sequences are provided below:

NM_001278426.3; Homo Sapiens Leukocyte Immunoglobulin Like Receptor B4 (Lilrb4), Transcript Variant 1, mRNA. (SEQ ID NO: 69) AGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGGGGAAATGAAAGCCAGGCTGGGGTTCAA ATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGATGGAACAACCCCATGACGAGAAGGACC CAGCCTCCAAGCGGCCACACCCTGTGTGTCTCTTTGTCCTGCCGGCACTGAGGACTCATC CATCTGCACAGCTGGGGCCCCTGGGAGGAGACGCCATGATCCCCACCTTCACGGCTCTGC TCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCCACATGCAGGCAGGGCCCCTCCCCAAAC CCACCCTCTGGGCTGAGCCAGGCTCTGTGATCAGCTGGGGGAACTCTGTGACCATCTGGT GTCAGGGGACCCTGGAGGCTCGGGAGTACCGTCTGGATAAAGAGGAAAGCCCAGCACCCT GGGACAGACAGAACCCACTGGAGCCCAAGAACAAGGCCAGATTCTCCATCCCATCCATGA CAGAGGACTATGCAGGGAGATACCGCTGTTACTATCGCAGCCCTGTAGGCTGGTCACAGC CCAGTGACCCCCTGGAGCTGGTGATGACAGGAGCCTACAGTAAACCCACCCTTTCAGCCC TGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCGTGACCCTGCTGTGTCAGTCACGGAGCC CAATGGACACTTTTCTTCTGATCAAGGAGCGGGCAGCCCATCCCCTACTGCATCTGAGAT CAGAGCACGGAGCTCAGCAGCACCAGGCTGAATTCCCCATGAGTCCTGTGACCTCAGTGC ACGGGGGGACCTACAGGTGCTTCAGCTCACACGGCTTCTCCCACTACCTGCTGTCACACC CCAGTGACCCCCTGGAGCTCATAGTCTCAGGATCCTTGGAGGGTCCCAGGCCCTCACCCA CAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGGACCAGCCCCTCATGCCTACAGGGTCAG TCCCCCACAGTGGTCTGAGAAGGCACTGGGAGGTACTGATCGGGGTCTTGGTGGTCTCCA TCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCCTCCAACACTGGCGTCAGGGAAAACACA GGACATTGGCCCAGAGACAGGCTGATTTCCAACGTCCTCCAGGGGCTGCCGAGCCAGAGC CCAAGGACGGGGGCCTACAGAGGAGGTCCAGCCCAGCTGCTGACGTCCAGGGAGAAAACT TCTGTGCTGCCGTGAAGAACACACAGCCTGAGGACGGGGTGGAAATGGACACTCGGCAGA GCCCACACGATGAAGACCCCCAGGCAGTGACGTATGCCAAGGTGAAACACTCCAGACCTA GGAGAGAAATGGCCTCTCCTCCCTCCCCACTGTCTGGGGAATTCCTGGACACAAAGGACA GACAGGCAGAAGAGGACAGACAGATGGACACTGAGGCTGCTGCATCTGAAGCCCCCCAGG ATGTGACCTACGCCCGGCTGCACAGCTTTACCCTCAGACAGAAGGCAACTGAGCCTCCTC CATCCCAGGAAGGGGCCTCTCCAGCTGAGCCCAGTGTCTATGCCACTCTGGCCATCCACT AATCCAGGGGGGACCCAGACCCCACAAGCCATGGAGACTCAGGACCCCAGAAGGCATGGA AGCTGCCTCCAGTAGACATCACTGAACCCCAGCCAGCCCAGACCCCTGACACAGACCACT AGAAGATTCCGGGAACGTTGGGAGTCACCTGATTCTGCAAAGATAAATAATATCCCTGCA TTATCAAAATAAAGTAGCAGACCTCTCAATTCACAATGAGTTAACTGATAAAACAAAACA GAAGTCAGACAATGTTTTAAATTGAATGATCATGTAAATATTACACATCAAACCAATGAC ATGGGAAAATGGGAGCTTCTAATGAGGACAAACAAAAAATAGAGAAAAATTAATAAAGTC AAAATGTTTATTCTTGAAAACATTAATGATACATGAATCTTGGCCACAATGAGAAAAATA AAAATGAAAAAAGAGCAGGCATCCATTTCCATACAGGAACAAAATAGGAGGCAGCACTAC AGACCCTACACACAGCTTTACAGAGGTGAAAGAAAACTGTCAGCAATTCTATGCTGACAT AACAGAAAATGTAGATGAGATAGATGAAATACGAAAAATTACAGTTTACTTAATGAACAT AAGGATAAATAGAAAAACTGAATCATCATACATAAACATATATAAAATGCATTGATCCTG TAATCAAAAATGTTCCCACAAAGTAAATGCCACTTCAGCAAGGTTTGTTGGTGGTTTTTT CAAACTCTTATGCACTCATGAAACACACAGACACACACACACACAAACTTGCATAAATTT TCCCTGAGAATATTTTGTATATATTTACACAAATACATTTGATCAGACTAGGAACAAGTT GATACCAAAACCTGAAAAGGAAACTACAGAATGGGAAAGTCATAGAAGATCTCTCACAGA AATATAAATCCCTTAACAAATATTAACAAGTAAGATTCATGTCTCTATAAAATAGACAGT ATATCATGACCACACTGGTTTTTTGTTATCCTTTGATTTTGTTTATGAAAAGCAAGGATA GCTTAATTTTCAAAAACTCAATCAATGTAATTCAGTATTTTAACAAAAGGAATGAAAAAT TATCATCTCAATAGACAAAGCTTTTGTCTGAGCACCTTTTCATATAGCTGCTGACCATTT GTATGTCTTCTTTTGAGAAATGCCTGTTCAGCTACTTTGCCCATGTTTCAAGTAGTTTTT GGTTTCTTGCTGTTGCTTTGTTTTAGTTCCTTACATATTTTTGCATATTAACCCTTTATC AGGTATACAGCTTGCAACTATTTTCTCCCATTTCTGAGTTGTCTCTTCATTCTGTTTGCA GAAGCTGTTTAGAAGCCACACCTTTTGTCTATTTTTGCTTTTGTTGCTTGTGTTTTCAGG GCCATATCCAAAAAAACCTTGCCCGGACCAACGTCTTGAAGCTTTTCTCCCACCCATTTT TGTATATGGGATAAGGGTTCAATTTCATTCTTCTTCATATGAATATCCCCAGGATGTGTC CTATGCCCAGCTGCACAGCTTACCCTCAAACAGAAAATAATGAAGCCTTCTTCCTCCCAG GAAAGGGGACGTTCAGCTGAGCCGAGTGTGTATACTGCTCTGGCCATCCACTAGCCCAGG GAGGACCCAGACCTCCACACTCCATGGAGACTCAGTTCTCCTAGGACCATTTATTCAAAA GGACTGCCCTCTCTTGTTCTTGGAAACTTTGTTGAGGATCAATTCACCATAAATATGTGT GTTTCCTTCTTTGCTTTCATCCCTGTTGCACTGATCACTGTACCTGTTTCTATTCCAGTT CCATGATGTCTTCCTGGCTGTAGCTTTGTAGGATATTTGGGGATTCCATAGTGTGATATC CCCTTCTTCCCTTTGCTCAAGATTGTTTTGGCTATTTGGGGTCCTTTTGTAGTCCCATTC AAATTTTAGGATTGTTTTTCTATTTCTGTGGAAAACGACCTTGGAATTTTGTTAGGAATT GCATTGAGTCTGCAGGTATGAACTTTTTTTTAAAGTTCCAGGGCACATGTACAGGACCTG CAGCTTTGTTACATAGGTAGGCTTGTGCCATGGTGGTTTGCTGCACCTATCAACCCATTA CCTAGTTATTAAGCCCAGCATGCATTAGCTCTTTTTCCTGATGCTCTCCCTCCCTTCATC ATCCGCCCTCCCACTACAAGCCCCAGTGTGTGTTGTTCCCCTCCCTGTGTCCATGTGTTC TCATTGTTATACGAACATTTTAACAATGTTAATTCTTGCAGACCATGAACATAAGCTACC TTCCCATTTATATGCGTCTTGTTCAATTTCATTCATCAATGTTATAAAGATTTTAGTGCA GA NM_001081438.1; Homo Sapiens Leukocyte Immunoglobulin-Like Receptor, Subfamily B (With Tm And Itim Domains), Member 4 (Lilrb4), Transcript Variant 2, MRNA. (SEQ ID NO: 70) CACTTGTTCAATGATGTACCCCCAGTGTCAGGCGCTTTGCAAACACACGATACATACGGG TTGATGTTTGGTCAAGAGAGGAATTAAGACCAGGCAGACAGCAGGCTGGGATCAGAGAGA CCCCATTTCTGTCTGAAATGTCTGCAGAGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGG GGAAATGAAAGCCAGGCTGGGGTTCAAATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGA TGGAACAACCCCATGACGAGAAGGACCCAGCCTCCAAGCGGCCACACCCTGTGTGTCTCT TTGTCCTGCCGGCACTGAGGACTCATCCATCTGCACAGCTGGGGCCCCTGGGAGGAGACG CCATGATCCCCACCTTCACGGCTCTGCTCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCC ACATGCAGGCAGGGCCCCTCCCCAAACCCACCCTCTGGGCTGAGCCAGGCTCTGTGATCA GCTGGGGGAACTCTGTGACCATCTGGTGTCAGGGGACCCTGGAGGCTCGGGAGTACCGTC TGGATAAAGAGGAAAGCCCAGCACCCTGGGACAGACAGAACCCACTGGAGCCCAAGAACA AGGCCAGATTCTCCATCCCATCCATGACAGAGGACTATGCAGGGAGATACCGCTGTTACT ATCGCAGCCCTGTAGGCTGGTCACAGCCCAGTGACCCCCTGGAGCTGGTGATGACAGGAG CCTACAGTAAACCCACCCTTTCAGCCCTGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCG TGACCCTGCTGTGTCAGTCACGGAGCCCAATGGACACTTTCCTTCTGATCAAGGAGCGGG CAGCCCATCCCCTACTGCATCTGAGATCAGAGCACGGAGCTCAGCAGCACCAGGCTGAAT TCCCCATGAGTCCTGTGACCTCAGTGCACGGGGGGACCTACAGGTGCTTCAGCTCACACG GCTTCTCCCACTACCTGCTGTCACACCCCAGTGACCCCCTGGAGCTCATAGTCTCAGGAT CCTTGGAGGATCCCAGGCCCTCACCCACAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGG ACCAGCCCCTCATGCCTACAGGGTCAGTCCCCCACAGTGGTCTGAGAAGGCACTGGGAGG TACTGATCGGGGTCTTGGTGGTCTCCATCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCC TCCAACACTGGCGTCAGGGAAAACACAGGACATTGGCCCAGAGACAGGCTGATTTCCAAC GTCCTCCAGGGGCTGCCGAGCCAGAGCCCAAGGACGGGGGCCTACAGAGGAGGTCCAGCC CAGCTGCTGACGTCCAGGGAGAAAACTTCTGTGCTGCCGTGAAGAACACACAGCCTGAGG ACGGGGTGGAAATGGACACTCGGAGCCCACACGATGAAGACCCCCAGGCAGTGACGTATG CCAAGGTGAAACACTCCAGACCTAGGAGAGAAATGGCCTCTCCTCCCTCCCCACTGTCTG GGGAATTCCTGGACACAAAGGACAGACAGGCAGAAGAGGACAGACAGATGGACACTGAGG CTGCTGCATCTGAAGCCCCCCAGGATGTGACCTACGCCCAGCTGCACAGCTTTACCCTCA GACAGAAGGCAACTGAGCCTCCTCCATCCCAGGAAGGGGCCTCTCCAGCTGAGCCCAGTG TCTATGCCACTCTGGCCATCCACTAATCCAGGGGGGACCCAGACCCCACAAGCCATGGAG ACTCAGGACCCCAGAAGGCATGGAAGCTGCCTCCAGTAGACATCACTGAACCCCAGCCAG CCCAGACCCCTGACACAGACCACTAGAAGATTCCGGGAACGTTGGGAGTCACCTGATTCT GCAAAGATAAATAATATCCCTGCATTATCAAAATAAAGTAGCAGACCTCTCAATTCACAA TGAGTTAACTGATAAAACAAAACAGAAGTCAGACAATGTTTTAAATTGAATGATCATGTA AATATTACACATCAAACCAATGACATGGGAAAATGGGAGCTTCTAATGAGGACAAACAAA AAATAGAGAAAAATTAATAAAGTCAAAATGTTTATTCTTGAAAAAAAAAAAAAA NM_001278427; Homo Sapiens Leukocyte Immunoglobulin Like Receptor B4 (LiLrb4), Transcript Variant 2, MRNA. (SEQ ID NO: 71) AGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGGGGAAATGAAAGCCAGGCTGGGGTTCAA ATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGATGGAACAACCCCATGACGAGAAGGACC CAGCCTCCAAGCGGCCACACCCTGTGTGTCTCTTTGTCCTGCCGGCACTGAGGACTCATC CATCTGCACAGCTGGGGCCCCTGGGAGGAGACGCCATGATCCCCACCTTCACGGCTCTGC TCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCCACATGCAGGCAGGGCCCCTCCCCAAAC CCACCCTCTGGGCTGAGCCAGGCTCTGTGATCAGCTGGGGGAACTCTGTGACCATCTGGT GTCAGGGGACCCTGGAGGCTCGGGAGTACCGTCTGGATAAAGAGGAAAGCCCAGCACCCT GGGACAGACAGAACCCACTGGAGCCCAAGAACAAGGCCAGATTCTCCATCCCATCCATGA CAGAGGACTATGCAGGGAGATACCGCTGTTACTATCGCAGCCCTGTAGGCTGGTCACAGC CCAGTGACCCCCTGGAGCTGGTGATGACAGGAGCCTACAGTAAACCCACCCTTTCAGCCC TGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCGTGACCCTGCTGTGTCAGTCACGGAGCC CAATGGACACTTTTCTTCTGATCAAGGAGCGGGCAGCCCATCCCCTACTGCATCTGAGAT CAGAGCACGGAGCTCAGCAGCACCAGGCTGAATTCCCCATGAGTCCTGTGACCTCAGTGC ACGGGGGGACCTACAGGTGCTTCAGCTCACACGGCTTCTCCCACTACCTGCTGTCACACC CCAGTGACCCCCTGGAGCTCATAGTCTCAGGATCCTTGGAGGGTCCCAGGCCCTCACCCA CAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGGACCAGCCCCTCATGCCTACAGGGTCAG TCCCCCACAGTGGTCTGAGAAGGCACTGGGAGGTACTGATCGGGGTCTTGGTGGTCTCCA TCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCCTCCAACACTGGCGTCAGGGAAAACACA GGACATTGGCCCAGAGACAGGCTGATTTCCAACGTCCTCCAGGGGCTGCCGAGCCAGAGC CCAAGGACGGGGGCCTACAGAGGAGGTCCAGCCCAGCTGCTGACGTCCAGGGAGAAAACT TCTGTGCTGCCGTGAAGAACACACAGCCTGAGGACGGGGTGGAAATGGACACTCGGAGCC CACACGATGAAGACCCCCAGGCAGTGACGTATGCCAAGGTGAAACACTCCAGACCTAGGA GAGAAATGGCCTCTCCTCCCTCCCCACTGTCTGGGGAATTCCTGGACACAAAGGACAGAC AGGCAGAAGAGGACAGACAGATGGACACTGAGGCTGCTGCATCTGAAGCCCCCCAGGATG TGACCTACGCCCGGCTGCACAGCTTTACCCTCAGACAGAAGGCAACTGAGCCTCCTCCAT CCCAGGAAGGGGCCTCTCCAGCTGAGCCCAGTGTCTATGCCACTCTGGCCATCCACTAAT CCAGGGGGGACCCAGACCCCACAAGCCATGGAGACTCAGGACCCCAGAAGGCATGGAAGC TGCCTCCAGTAGACATCACTGAACCCCAGCCAGCCCAGACCCCTGACACAGACCACTAGA AGATTCCGGGAACGTTGGGAGTCACCTGATTCTGCAAAGATAAATAATATCCCTGCATTA TCAAAATAAAGTAGCAGACCTCTCAATTCACAATGAGTTAACTGATAAAACAAAACAGAA GTCAGACAATGTTTTAAATTGAATGATCATGTAAATATTACACATCAAACCAATGACATG GGAAAATGGGAGCTTCTAATGAGGACAAACAAAAAATAGAGAAAAATTAATAAAGTCAAA ATGTTTATTCTTGAAAACATTAATGATACATGAATCTTGGCCACAATGAGAAAAATAAAA ATGAAAAAAGAGCAGGCATCCATTTCCATACAGGAACAAAATAGGAGGCAGCACTACAGA CCCTACACACAGCTTTACAGAGGTGAAAGAAAACTGTCAGCAATTCTATGCTGACATAAC AGAAAATGTAGATGAGATAGATGAAATACGAAAAATTACAGTTTACTTAATGAACATAAG GATAAATAGAAAAACTGAATCATCATACATAAACATATATAAAATGCATTGATCCTGTAA TCAAAAATGTTCCCACAAAGTAAATGCCACTTCAGCAAGGTTTGTTGGTGGTTTTTTCAA ACTCTTATGCACTCATGAAACACACAGACACACACACACACAAACTTGCATAAATTTTCC CTGAGAATATTTTGTATATATTTACACAAATACATTTGATCAGACTAGGAACAAGTTGAT ACCAAAACCTGAAAAGGAAACTACAGAATGGGAAAGTCATAGAAGATCTCTCACAGAAAT ATAAATCCCTTAACAAATATTAACAAGTAAGATTCATGTCTCTATAAAATAGACAGTATA TCATGACCACACTGGTTTTTTGTTATCCTTTGATTTTGTTTATGAAAAGCAAGGATAGCT TAATTTTCAAAAACTCAATCAATGTAATTCAGTATTTTAACAAAAGGAATGAAAAATTAT CATCTCAATAGACAAAGCTTTTGTCTGAGCACCTTTTCATATAGCTGCTGACCATTTGTA TGTCTTCTTTTGAGAAATGCCTGTTCAGCTACTTTGCCCATGTTTCAAGTAGTTTTTGGT TTCTTGCTGTTGCTTTGTTTTAGTTCCTTACATATTTTTGCATATTAACCCTTTATCAGG TATACAGCTTGCAACTATTTTCTCCCATTTCTGAGTTGTCTCTTCATTCTGTTTGCAGAA GCTGTTTAGAAGCCACACCTTTTGTCTATTTTTGCTTTTGTTGCTTGTGTTTTCAGGGCC ATATCCAAAAAAACCTTGCCCGGACCAACGTCTTGAAGCTTTTCTCCCACCCATTTTTGT ATATGGGATAAGGGTTCAATTTCATTCTTCTTCATATGAATATCCCCAGGATGTGTCCTA TGCCCAGCTGCACAGCTTACCCTCAAACAGAAAATAATGAAGCCTTCTTCCTCCCAGGAA AGGGGACGTTCAGCTGAGCCGAGTGTGTATACTGCTCTGGCCATCCACTAGCCCAGGGAG GACCCAGACCTCCACACTCCATGGAGACTCAGTTCTCCTAGGACCATTTATTCAAAAGGA CTGCCCTCTCTTGTTCTTGGAAACTTTGTTGAGGATCAATTCACCATAAATATGTGTGTT TCCTTCTTTGCTTTCATCCCTGTTGCACTGATCACTGTACCTGTTTCTATTCCAGTTCCA TGATGTCTTCCTGGCTGTAGCTTTGTAGGATATTTGGGGATTCCATAGTGTGATATCCCC TTCTTCCCTTTGCTCAAGATTGTTTTGGCTATTTGGGGTCCTTTTGTAGTCCCATTCAAA TTTTAGGATTGTTTTTCTATTTCTGTGGAAAACGACCTTGGAATTTTGTTAGGAATTGCA TTGAGTCTGCAGGTATGAACTTTTTTTTAAAGTTCCAGGGCACATGTACAGGACCTGCAG CTTTGTTACATAGGTAGGCTTGTGCCATGGTGGTTTGCTGCACCTATCAACCCATTACCT AGTTATTAAGCCCAGCATGCATTAGCTCTTTTTCCTGATGCTCTCCCTCCCTTCATCATC CGCCCTCCCACTACAAGCCCCAGTGTGTGTTGTTCCCCTCCCTGTGTCCATGTGTTCTCA TTGTTATACGAACATTTTAACAATGTTAATTCTTGCAGACCATGAACATAAGCTACCTTC CCATTTATATGCGTCTTGTTCAATTTCATTCATCAATGTTATAAAGATTTTAGTGCAGA NM_001278428; Homo Sapiens Leukocyte Immunoglobulin Like Receptor B4 (Lilrb4), Transcript Variant 3, MRNA. (SEQ ID NO: 72) AGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGGGGAAATGAAAGCCAGGCTGGGGTTCAA ATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGATGGAACAACCCCATGACGAGAAGGACC CAGCCTCCAAGCGGCCACACCCTGTGTGTCTCTTTGTCCTGCCGGCACTGAGGACTCATC CATCTGCACAGCTGGGGCCCCTGGGAGGAGACGCCATGATCCCCACCTTCACGGCTCTGC TCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCCACATGCAGGCAGGGCCCCTCCCCAAAC CCACCCTCTGGGCTGAGCCAGGCTCTGTGATCAGCTGGGGGAACTCTGTGACCATCTGGT GTCAGGGGACCCTGGAGGCTCGGGAGTACCGTCTGGATAAAGAGGAAAGCCCAGCACCCT GGGACAGACAGAACCCACTGGAGCCCAAGAACAAGGCCAGATTCTCCATCCCATCCATGA CAGAGGACTATGCAGGGAGATACCGCTGTTACTATCGCAGCCCTGTAGGCTGGTCACAGC CCAGTGACCCCCTGGAGCTGGTGATGACAGGAGCCTACAGTAAACCCACCCTTTCAGCCC TGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCGTGACCCTGCTGTGTCAGTCACGGAGCC CAATGGACACTTTTCTTCTGATCAAGGAGCGGGCAGCCCATCCCCTACTGCATCTGAGAT CAGAGCACGGAGCTCAGCAGCACCAGGCTGAATTCCCCATGAGTCCTGTGACCTCAGTGC ACGGGGGGACCTACAGGTGCTTCAGCTCACACGGCTTCTCCCACTACCTGCTGTCACACC CCAGTGACCCCCTGGAGCTCATAGTCTCAGGATCCTTGGAGGGTCCCAGGCCCTCACCCA CAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGGACCAGCCCCTCATGCCTACAGGGTCAG TCCCCCACAGTGGTCTGAGAAGGCACTGGGAGGTACTGATCGGGGTCTTGGTGGTCTCCA TCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCCTCCAACACTGGCGTCAGGGAAAACACA GGACATTGGCCCAGAGACAGGCTGATTTCCAACGTCCTCCAGGGGCTGCCGAGCCAGAGC CCAAGGACGGGGGCCTACAGAGGAGGTCCAGCCCAGCTGCTGACGTCCAGGGAGAAAACT TCTCAGGTGCTGCCGTGAAGAACACACAGCCTGAGGACGGGGTGGAAATGGACACTCGGA GCCCACACGATGAAGACCCCCAGGCAGTGACGTATGCCAAGGTGAAACACTCCAGACCTA GGAGAGAAATGGCCTCTCCTCCCTCCCCACTGTCTGGGGAATTCCTGGACACAAAGGACA GACAGGCAGAAGAGGACAGACAGATGGACACTGAGGCTGCTGCATCTGAAGCCCCCCAGG ATGTGACCTACGCCCGGCTGCACAGCTTTACCCTCAGACAGAAGGCAACTGAGCCTCCTC CATCCCAGGAAGGGGCCTCTCCAGCTGAGCCCAGTGTCTATGCCACTCTGGCCATCCACT AATCCAGGGGGGACCCAGACCCCACAAGCCATGGAGACTCAGGACCCCAGAAGGCATGGA AGCTGCCTCCAGTAGACATCACTGAACCCCAGCCAGCCCAGACCCCTGACACAGACCACT AGAAGATTCCGGGAACGTTGGGAGTCACCTGATTCTGCAAAGATAAATAATATCCCTGCA TTATCAAAATAAAGTAGCAGACCTCTCAATTCACAATGAGTTAACTGATAAAACAAAACA GAAGTCAGACAATGTTTTAAATTGAATGATCATGTAAATATTACACATCAAACCAATGAC ATGGGAAAATGGGAGCTTCTAATGAGGACAAACAAAAAATAGAGAAAAATTAATAAAGTC AAAATGTTTATTCTTGAAAACATTAATGATACATGAATCTTGGCCACAATGAGAAAAATA AAAATGAAAAAAGAGCAGGCATCCATTTCCATACAGGAACAAAATAGGAGGCAGCACTAC AGACCCTACACACAGCTTTACAGAGGTGAAAGAAAACTGTCAGCAATTCTATGCTGACAT AACAGAAAATGTAGATGAGATAGATGAAATACGAAAAATTACAGTTTACTTAATGAACAT AAGGATAAATAGAAAAACTGAATCATCATACATAAACATATATAAAATGCATTGATCCTG TAATCAAAAATGTTCCCACAAAGTAAATGCCACTTCAGCAAGGTTTGTTGGTGGTTTTTT CAAACTCTTATGCACTCATGAAACACACAGACACACACACACACAAACTTGCATAAATTT TCCCTGAGAATATTTTGTATATATTTACACAAATACATTTGATCAGACTAGGAACAAGTT GATACCAAAACCTGAAAAGGAAACTACAGAATGGGAAAGTCATAGAAGATCTCTCACAGA AATATAAATCCCTTAACAAATATTAACAAGTAAGATTCATGTCTCTATAAAATAGACAGT ATATCATGACCACACTGGTTTTTTGTTATCCTTTGATTTTGTTTATGAAAAGCAAGGATA GCTTAATTTTCAAAAACTCAATCAATGTAATTCAGTATTTTAACAAAAGGAATGAAAAAT TATCATCTCAATAGACAAAGCTTTTGTCTGAGCACCTTTTCATATAGCTGCTGACCATTT GTATGTCTTCTTTTGAGAAATGCCTGTTCAGCTACTTTGCCCATGTTTCAAGTAGTTTTT GGTTTCTTGCTGTTGCTTTGTTTTAGTTCCTTACATATTTTTGCATATTAACCCTTTATC AGGTATACAGCTTGCAACTATTTTCTCCCATTTCTGAGTTGTCTCTTCATTCTGTTTGCA GAAGCTGTTTAGAAGCCACACCTTTTGTCTATTTTTGCTTTTGTTGCTTGTGTTTTCAGG GCCATATCCAAAAAAACCTTGCCCGGACCAACGTCTTGAAGCTTTTCTCCCACCCATTTT TGTATATGGGATAAGGGTTCAATTTCATTCTTCTTCATATGAATATCCCCAGGATGTGTC CTATGCCCAGCTGCACAGCTTACCCTCAAACAGAAAATAATGAAGCCTTCTTCCTCCCAG GAAAGGGGACGTTCAGCTGAGCCGAGTGTGTATACTGCTCTGGCCATCCACTAGCCCAGG GAGGACCCAGACCTCCACACTCCATGGAGACTCAGTTCTCCTAGGACCATTTATTCAAAA GGACTGCCCTCTCTTGTTCTTGGAAACTTTGTTGAGGATCAATTCACCATAAATATGTGT GTTTCCTTCTTTGCTTTCATCCCTGTTGCACTGATCACTGTACCTGTTTCTATTCCAGTT CCATGATGTCTTCCTGGCTGTAGCTTTGTAGGATATTTGGGGATTCCATAGTGTGATATC CCCTTCTTCCCTTTGCTCAAGATTGTTTTGGCTATTTGGGGTCCTTTTGTAGTCCCATTC AAATTTTAGGATTGTTTTTCTATTTCTGTGGAAAACGACCTTGGAATTTTGTTAGGAATT GCATTGAGTCTGCAGGTATGAACTTTTTTTTAAAGTTCCAGGGCACATGTACAGGACCTG CAGCTTTGTTACATAGGTAGGCTTGTGCCATGGTGGTTTGCTGCACCTATCAACCCATTA CCTAGTTATTAAGCCCAGCATGCATTAGCTCTTTTTCCTGATGCTCTCCCTCCCTTCATC ATCCGCCCTCCCACTACAAGCCCCAGTGTGTGTTGTTCCCCTCCCTGTGTCCATGTGTTC TCATTGTTATACGAACATTTTAACAATGTTAATTCTTGCAGACCATGAACATAAGCTACC TTCCCATTTATATGCGTCTTGTTCAATTTCATTCATCAATGTTATAAAGATTTTAGTGCA GA NM_001278429; Homo Sapiens Leukocyte Immunoglobulin Like Receptor B4 (Lilrb4), Transcript Variant 4, MRNA. (SEQ ID NO: 73) AGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGGGGAAATGAAAGCCAGGCTGGGGTTCAA ATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGATGGAACAACCCCATGACGAGAAGGACC CAGCCTCCAAGCGGCCACACCCTGTGTGTCTCTTTGTCCTGCCGGCACTGAGGACTCATC CATCTGCACAGCTGGGGCCCCTGGGAGGAGACGCCATGATCCCCACCTTCACGGCTCTGC TCTGCCTCGGGCCCCTCCCCAAACCCACCCTCTGGGCTGAGCCAGGCTCTGTGATCAGCT GGGGGAACTCTGTGACCATCTGGTGTCAGGGGACCCTGGAGGCTCGGGAGTACCGTCTGG ATAAAGAGGAAAGCCCAGCACCCTGGGACAGACAGAACCCACTGGAGCCCAAGAACAAGG CCAGATTCTCCATCCCATCCATGACAGAGGACTATGCAGGGAGATACCGCTGTTACTATC GCAGCCCTGTAGGCTGGTCACAGCCCAGTGACCCCCTGGAGCTGGTGATGACAGGAGCCT ACAGTAAACCCACCCTTTCAGCCCTGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCGTGA CCCTGCTGTGTCAGTCACGGAGCCCAATGGACACTTTTCTTCTGATCAAGGAGCGGGCAG CCCATCCCCTACTGCATCTGAGATCAGAGCACGGAGCTCAGCAGCACCAGGCTGAATTCC CCATGAGTCCTGTGACCTCAGTGCACGGGGGGACCTACAGGTGCTTCAGCTCACACGGCT TCTCCCACTACCTGCTGTCACACCCCAGTGACCCCCTGGAGCTCATAGTCTCAGGATCCT TGGAGGGTCCCAGGCCCTCACCCACAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGGACC AGCCCCTCATGCCTACAGGGTCAGTCCCCCACAGTGGTCTGAGAAGGCACTGGGAGGTAC TGATCGGGGTCTTGGTGGTCTCCATCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCCTCC AACACTGGCGTCAGGGAAAACACAGGACATTGGCCCAGAGACAGGCTGATTTCCAACGTC CTCCAGGGGCTGCCGAGCCAGAGCCCAAGGACGGGGGCCTACAGAGGAGGTCCAGCCCAG CTGCTGACGTCCAGGGAGAAAACTTCTCAGGTGCTGCCGTGAAGAACACACAGCCTGAGG ACGGGGTGGAAATGGACACTCGGCAGAGCCCACACGATGAAGACCCCCAGGCAGTGACGT ATGCCAAGGTGAAACACTCCAGACCTAGGAGAGAAATGGCCTCTCCTCCCTCCCCACTGT CTGGGGAATTCCTGGACACAAAGGACAGACAGGCAGAAGAGGACAGACAGATGGACACTG AGGCTGCTGCATCTGAAGCCCCCCAGGATGTGACCTACGCCCGGCTGCACAGCTTTACCC TCAGACAGAAGGCAACTGAGCCTCCTCCATCCCAGGAAGGGGCCTCTCCAGCTGAGCCCA GTGTCTATGCCACTCTGGCCATCCACTAATCCAGGGGGGACCCAGACCCCACAAGCCATG GAGACTCAGGACCCCAGAAGGCATGGAAGCTGCCTCCAGTAGACATCACTGAACCCCAGC CAGCCCAGACCCCTGACACAGACCACTAGAAGATTCCGGGAACGTTGGGAGTCACCTGAT TCTGCAAAGATAAATAATATCCCTGCATTATCAAAATAAAGTAGCAGACCTCTCAATTCA CAATGAGTTAACTGATAAAACAAAACAGAAGTCAGACAATGTTTTAAATTGAATGATCAT GTAAATATTACACATCAAACCAATGACATGGGAAAATGGGAGCTTCTAATGAGGACAAAC AAAAAATAGAGAAAAATTAATAAAGTCAAAATGTTTATTCTTGAAAACATTAATGATACA TGAATCTTGGCCACAATGAGAAAAATAAAAATGAAAAAAGAGCAGGCATCCATTTCCATA CAGGAACAAAATAGGAGGCAGCACTACAGACCCTACACACAGCTTTACAGAGGTGAAAGA AAACTGTCAGCAATTCTATGCTGACATAACAGAAAATGTAGATGAGATAGATGAAATACG AAAAATTACAGTTTACTTAATGAACATAAGGATAAATAGAAAAACTGAATCATCATACAT AAACATATATAAAATGCATTGATCCTGTAATCAAAAATGTTCCCACAAAGTAAATGCCAC TTCAGCAAGGTTTGTTGGTGGTTTTTTCAAACTCTTATGCACTCATGAAACACACAGACA CACACACACACAAACTTGCATAAATTTTCCCTGAGAATATTTTGTATATATTTACACAAA TACATTTGATCAGACTAGGAACAAGTTGATACCAAAACCTGAAAAGGAAACTACAGAATG GGAAAGTCATAGAAGATCTCTCACAGAAATATAAATCCCTTAACAAATATTAACAAGTAA GATTCATGTCTCTATAAAATAGACAGTATATCATGACCACACTGGTTTTTTGTTATCCTT TGATTTTGTTTATGAAAAGCAAGGATAGCTTAATTTTCAAAAACTCAATCAATGTAATTC AGTATTTTAACAAAAGGAATGAAAAATTATCATCTCAATAGACAAAGCTTTTGTCTGAGC ACCTTTTCATATAGCTGCTGACCATTTGTATGTCTTCTTTTGAGAAATGCCTGTTCAGCT ACTTTGCCCATGTTTCAAGTAGTTTTTGGTTTCTTGCTGTTGCTTTGTTTTAGTTCCTTA CATATTTTTGCATATTAACCCTTTATCAGGTATACAGCTTGCAACTATTTTCTCCCATTT CTGAGTTGTCTCTTCATTCTGTTTGCAGAAGCTGTTTAGAAGCCACACCTTTTGTCTATT TTTGCTTTTGTTGCTTGTGTTTTCAGGGCCATATCCAAAAAAACCTTGCCCGGACCAACG TCTTGAAGCTTTTCTCCCACCCATTTTTGTATATGGGATAAGGGTTCAATTTCATTCTTC TTCATATGAATATCCCCAGGATGTGTCCTATGCCCAGCTGCACAGCTTACCCTCAAACAG AAAATAATGAAGCCTTCTTCCTCCCAGGAAAGGGGACGTTCAGCTGAGCCGAGTGTGTAT ACTGCTCTGGCCATCCACTAGCCCAGGGAGGACCCAGACCTCCACACTCCATGGAGACTC AGTTCTCCTAGGACCATTTATTCAAAAGGACTGCCCTCTCTTGTTCTTGGAAACTTTGTT GAGGATCAATTCACCATAAATATGTGTGTTTCCTTCTTTGCTTTCATCCCTGTTGCACTG ATCACTGTACCTGTTTCTATTCCAGTTCCATGATGTCTTCCTGGCTGTAGCTTTGTAGGA TATTTGGGGATTCCATAGTGTGATATCCCCTTCTTCCCTTTGCTCAAGATTGTTTTGGCT ATTTGGGGTCCTTTTGTAGTCCCATTCAAATTTTAGGATTGTTTTTCTATTTCTGTGGAA AACGACCTTGGAATTTTGTTAGGAATTGCATTGAGTCTGCAGGTATGAACTTTTTTTTAA AGTTCCAGGGCACATGTACAGGACCTGCAGCTTTGTTACATAGGTAGGCTTGTGCCATGG TGGTTTGCTGCACCTATCAACCCATTACCTAGTTATTAAGCCCAGCATGCATTAGCTCTT TTTCCTGATGCTCTCCCTCCCTTCATCATCCGCCCTCCCACTACAAGCCCCAGTGTGTGT TGTTCCCCTCCCTGTGTCCATGTGTTCTCATTGTTATACGAACATTTTAACAATGTTAAT TCTTGCAGACCATGAACATAAGCTACCTTCCCATTTATATGCGTCTTGTTCAATTTCATT CATCATGTTATAAAGATTTTAGTGCAGA NM_001278430; Homo Sapiens Leukocyte Immunoglobulin Like Receptor B4 (Lilrb4), Transcript Variant 5, MRNA. (SEQ ID NO: 74) AGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGGGGAAATGAAAGCCAGGCTGGGGTTCAA ATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGATGGAACAACCCCATGACGAGAAGGACC CAGCCTCCAAGCGGCCACACCCTGTGTGTCTCTTTGTCCTGCCGGCACTGAGGACTCATC CATCTGCACAGCTGGGGCCCCTGGGAGGAGACGCCATGATCCCCACCTTCACGGCTCTGC TCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCCACATGCAGGCAGGGCCCCTCCCCAAAC CCACCCTCTGGGCTGAGCCAGGCTCTGTGATCAGCTGGGGGAACTCTGTGACCATCTGGT GTCAGGGGACCCTGGAGGCTCGGGAGTACCGTCTGGATAAAGAGGAAAGCCCAGCACCCT GGGACAGACAGAACCCACTGGAGCCCAAGAACAAGGCCAGATTCTCCATCCCATCCATGA CAGAGGACTATGCAGGGAGATACCGCTGTTACTATCGCAGCCCTGTAGGCTGGTCACAGC CCAGTGACCCCCTGGAGCTGGTGATGACAGGAGCCTACAGTAAACCCACCCTTTCAGCCC TGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCGTGACCCTGCTGTGTCAGTCACGGAGCC CAATGGACACTTTTCTTCTGATCAAGGAGCGGGCAGCCCATCCCCTACTGCATCTGAGAT CAGAGCACGGAGCTCAGCAGCACCAGGCTGAATTCCCCATGAGTCCTGTGACCTCAGTGC ACGGGGGGACCTACAGGTGCTTCAGCTCACACGGCTTCTCCCACTACCTGCTGTCACACC CCAGTGACCCCCTGGAGCTCATAGTCTCAGGATCCTTGGAGGGTCCCAGGCCCTCACCCA CAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGGACCAGCCCCTCATGCCTACAGGGTCAG TCCCCCACAGTGGTGAGTGAGGGGCTCTGAGTGGGAGGT NM_006847; Homo Sapiens Leukocyte Immunoglobulin-Like Receptor, Subfamily B (With Tm And Itim Domains), Member 4 (Lilrb4), Transcript Variant 1, MRNA. (SEQ ID NO: 75) CACTTGTTCAATGATGTACCCCCAGTGTCAGGCGCTTTGCAAACACACGATACATACGGG TTGATGTTTGGTCAAGAGAGGAATTAAGACCAGGCAGACAGCAGGCTGGGATCAGAGAGA CCCCATTTCTGTCTGAAATGTCTGCAGAGAACCTGGTGCCTGCCTCAGCCCTAGCTCTGG GGAAATGAAAGCCAGGCTGGGGTTCAAATGAGGGCAGTTTCCCTTCCTGTGGGCTGCTGA TGGAACAACCCCATGACGAGAAGGACCCAGCCTCCAAGCGGCCACACCCTGTGTGTCTCT TTGTCCTGCCGGCACTGAGGACTCATCCATCTGCACAGCTGGGGCCCCTGGGAGGAGACG CCATGATCCCCACCTTCACGGCTCTGCTCTGCCTCGGGCTGAGTCTGGGCCCCAGGACCC ACATGCAGGCAGGGCCCCTCCCCAAACCCACCCTCTGGGCTGAGCCAGGCTCTGTGATCA GCTGGGGGAACTCTGTGACCATCTGGTGTCAGGGGACCCTGGAGGCTCGGGAGTACCGTC TGGATAAAGAGGAAAGCCCAGCACCCTGGGACAGACAGAACCCACTGGAGCCCAAGAACA AGGCCAGATTCTCCATCCCATCCATGACAGAGGACTATGCAGGGAGATACCGCTGTTACT ATCGCAGCCCTGTAGGCTGGTCACAGCCCAGTGACCCCCTGGAGCTGGTGATGACAGGAG CCTACAGTAAACCCACCCTTTCAGCCCTGCCGAGTCCTCTTGTGACCTCAGGAAAGAGCG TGACCCTGCTGTGTCAGTCACGGAGCCCAATGGACACTTTCCTTCTGATCAAGGAGCGGG CAGCCCATCCCCTACTGCATCTGAGATCAGAGCACGGAGCTCAGCAGCACCAGGCTGAAT TCCCCATGAGTCCTGTGACCTCAGTGCACGGGGGGACCTACAGGTGCTTCAGCTCACACG GCTTCTCCCACTACCTGCTGTCACACCCCAGTGACCCCCTGGAGCTCATAGTCTCAGGAT CCTTGGAGGATCCCAGGCCCTCACCCACAAGGTCCGTCTCAACAGCTGCAGGCCCTGAGG ACCAGCCCCTCATGCCTACAGGGTCAGTCCCCCACAGTGGTCTGAGAAGGCACTGGGAGG TACTGATCGGGGTCTTGGTGGTCTCCATCCTGCTTCTCTCCCTCCTCCTCTTCCTCCTCC TCCAACACTGGCGTCAGGGAAAACACAGGACATTGGCCCAGAGACAGGCTGATTTCCAAC GTCCTCCAGGGGCTGCCGAGCCAGAGCCCAAGGACGGGGGCCTACAGAGGAGGTCCAGCC CAGCTGCTGACGTCCAGGGAGAAAACTTCTGTGCTGCCGTGAAGAACACACAGCCTGAGG ACGGGGTGGAAATGGACACTCGGCAGAGCCCACACGATGAAGACCCCCAGGCAGTGACGT ATGCCAAGGTGAAACACTCCAGACCTAGGAGAGAAATGGCCTCTCCTCCCTCCCCACTGT CTGGGGAATTCCTGGACACAAAGGACAGACAGGCAGAAGAGGACAGACAGATGGACACTG AGGCTGCTGCATCTGAAGCCCCCCAGGATGTGACCTACGCCCAGCTGCACAGCTTTACCC TCAGACAGAAGGCAACTGAGCCTCCTCCATCCCAGGAAGGGGCCTCTCCAGCTGAGCCCA GTGTCTATGCCACTCTGGCCATCCACTAATCCAGGGGGGACCCAGACCCCACAAGCCATG GAGACTCAGGACCCCAGAAGGCATGGAAGCTGCCTCCAGTAGACATCACTGAACCCCAGC CAGCCCAGACCCCTGACACAGACCACTAGAAGATTCCGGGAACGTTGGGAGTCACCTGAT TCTGCAAAGATAAATAATATCCCTGCATTATCAAAATAAAGTAGCAGACCTCTCAATTCA CAATGAGTTAACTGATAAAACAAAACAGAAGTCAGACAATGTTTTAAATTGAATGATCAT GTAAATATTACACATCAAACCAATGACATGGGAAAATGGGAGCTTCTAATGAGGACAAAC AAAAAATAGAGAAAAATTAATAAAGTCAAAATGTTTATTCTTGAAAAAAAAAAAAAA

In mice, two genes have been identified that are orthologous to human ILT-3: Gp49a (also known as Lilr4b, NCBI Gene ID: 14727) and Gp49b (also known as Lilrb4a, NCBI Gene ID: 14728). Unlike human ILT-3 and Gp49b, Gp49a does not contain an ITIM domain.

In a certain example, Applicants characterize Lilrb4 expression and its associated function in CD8⁺ WT tumor-bearing mice. TILs (tumor infiltrating lymphocytes) are isolated from the mice and expression is determined. Cells may be sorted and sequenced in bulk or single cells may be sequenced. Lilrb4 may be expressed on a subpopulation of CD8 T cells having a signature of dysfunction as described herein or a signature of dysfunction previously described (Singer et al., Cell, Vol 166, Issue 6, p1500-1511.e9, 8 Sep. 2016). The dysfunctional subpopulation may be found in TILs, but not in tumor draining lymph node.

In a certain example, cytokine expression in Lilrb4-expressing CD8⁺ TILs is examined to determine whether the Lilrb4 expression correlates with CD8⁺ T cell function. This result may determine whether Lilrb4 CD8 TILs are not only poorly functional as measured by a dysfunctional signature, but they may also actively produce suppressive cytokines and contribute to suppression locally in the tumor microenvironment. Suppressive cytokines may include, but are not limited to IL-10.

Applicants can determine whether Lilrb4 is a regulator of the suppressive function of dysfunctional CD8⁺ T cells in cancer. In a certain example, Lilrb4 WT or knockout CD8⁺ T cells are assessed for their ability to influence effector T cell proliferation using a suppression assay, such that lilrb4^(−/−) TILs fail to suppress effector T cell proliferation compared to WT dysfunctional TILs.

In a certain example, to directly analyze the functional role of Lilrb4 in regulating CD8⁺ T cell dysfunction, a lentiviral CRISPR/cas9 targeting approach is used to knockout Lilrb4 in T cells. In a certain example, naïve transgenic pmel CD8⁺ T cells are used. Control or Lilrb4 CRISPR lentiviruses are transduced into CD8⁺ T cells isolated from PMEL transgenic mice in which all T cells have a single tumor antigen specific TCR with specificity for the mouse homologue of the human premelanosome protein. PMEL CD8⁺ T cells are normally ineffective at controlling growth of B16F10 melanoma tumors, such that perturbations that promote tumor clearance can be readily discerned. Control or Lilrb4-targeted (deleted, i.e., lilrb4^(−/−)) pmel CD8⁺ T cells are activated and equal numbers of cells are transferred into WT mice with established B16F10 melanoma tumor. Mice are then followed for tumor growth. Efficiency of Lilrb4 deletion may be determined by quantitative real time PCR. The transfer of Lilrb4^(−/−) pmel CD8⁺ T cells is expected to significantly delay tumor growth in WT mice.

Upon transfer into WT hosts, lilrb4^(−/−) pmel CD8⁺ T cells may produce a higher percent of poly-functional IL-2 and IFNg-producing cells, consistent with a less dysfunctional phenotype compared to control WT pmel CD8⁺ T cells. Accordingly, the transfer of lilrb4^(−/−) pmel CD8⁺ T cells may delay tumor growth in WT mice. These data may support a role for Lilrb4 as a regulator of the CD8⁺ T cell dysfunction program that contributes to poor tumor control.

In a certain example, Applicants can further demonstrate that tumor growth is significantly reduced or abolished in lilrb4^(−/−) KO mice, and that splenic CD8⁺ T cells from lilrb4^(−/−) KO mice harboring a tumor has a reduction in tumor size when transferred into tumor harboring wild type animals. In particular, WT or lilrb4^(−/−) mice are implanted with B16-F10 tumor subcutaneously. At day 18, CD8 and CD4 T cells are isolated from the spleens of WT and lilrb4^(−/−) mice and transferred into WT host mice which are subsequently injected with B16-F10 tumor subcutaneously. Tumor growth is then followed.

A CRISPR/cas9 targeting approach is also used to knockout Lilrb4 followed by RNA-seq to determine gene networks regulated by Lilrb4.

Turning to FIG. 17, Applicants showed that Lilrb4 is co-expressed with PD-1+Tim3+CD8 T cells and blocking antibody slightly suppress tumor growth (B16 melanoma).

In another study, a Th17 cell pathogenicity signature was generated from RNA-seq profiles of in vitro differentiated Th17 cells with different capacities to induce disease in vivo. Single cell RNA-seq was performed on Th17 cells both in vitro and ex vivo from experimental autoimmune encephalomyelitis (EAE) mice. Each single cell was assigned a pathogenicity score based on its expression of the pathogenicity signature. The plot displays correlation between expression levels of co-inhibitory or co-stimulatory receptors in each single cell and the pathogenicity score of the cell. The results showed that Gp49a & Gp49b expression are highly positively correlated with pathogenicity of Th17 cell at single cell level (FIG. 21).

To determine whether Gp49 is expressed by in vitro differentiated pathogenic Th17, Applicants differentiated Th17 cells. CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus indicated cytokines. Expression of Gp49 was measured by FACS on day 3. The results showed that Gp49 is expressed by in vitro differentiated pathogenic Th17 but not non-pathogenic Th17 (FIG. 22). To determine whether a T cell receptor (TCR) is sufficient to induce Gp49 expression in vitro, CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; TGFb (2 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml), or IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of Gp49 was measured by FACS on day 3. The results showed that TCR signal was not sufficient to induce Gp49 expression in vitro and Gp49 expression was inhibited by TGFb (FIG. 23). To determine whether Gp49 expression on T cells is restricted to tissue, EAE was induced in C57/BL6 mice by immunization with 100 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS, dLN and spleen. Expression of Gp49 was analyzed by FACS. The results showed that Gp49 expression on T cells was restricted to tissue (FIG. 24). To determine whether Gp49 expression on myeloid cells is restricted to tissue, the Gp49 in vivo expression pattern was assayed in an EAE model. EAE was induced in C57/BL6 mice by immunization with 100 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS, dLN and spleen. Expression of Gp49 was analyzed by FACS. The data showed that Gp49 expression on myeloid cells is not restricted to tissue (FIG. 25).

Gp49a Overexpression Studies.

To determine whether Gp49a overexpression promotes IL17a production in vitro, in vitro differentiated Th17 cells were transduced with retrovirus overexpressing Gp49a on day 1. Expression of Gp49a and IL17a were measured by qPCR on day 3. The data showed that Gp49a overexpression promotes IL17a production in vitro (FIG. 26). 2D2 cells treated with Gp49a overexpression were used for a transfer EAE model. 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were then transduced with retrovirus overexpressing Gp49a on day 1 and injected i.v. to induce EAE on day 7. Gp49 expression was measured by FACS. The data showed that Gp49a can be expressed on 2D2 cells for transfer EAE. To investigate the role of Gp49a overexpression on the pathogenicity of Th17 cells, 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were transduced with retrovirus overexpressing Gp49a on day 1 and injected i.v. to induce EAE on day 7. Leukocytes were isolated from the central nervous system (CNS) on day 21, and stimulated in vitro with PMA and Ionomycin. Cytokine production from CD4+ T cells was measured by FACS. The data showed that Gp49a overexpression promotes pathogenicity of Th17 cells (FIG. 28). To determine whether Gp49a overexpression promotes IL17a and GM-CSF in vivo, 2D2 transgenic T cells were differentiated into Th17 cells in vitro with TGFb, IL6 and IL23. Cells were transduced with retrovirus overexpressing Gp49a on day 1 and injected i.v. to induce EAE on day 7. Leukocytes were isolated from CNS on day 21, stimulated in vitro with PMA and Ionomycin. Cytokine production from CD4 T cells were measured by FACS. The data showed that Gp49a overexpression promotes IL17a and GM-CSF in vivo (FIG. 29).

Gp49b Knockout Studies.

A Gp49b knockout mouse was used for the following experiments (Kasai, S. et al. European J. Immunology. 38: 2426-37 (2008)). To determine if the Gp49b knock-out (KO) expresses Gp49a, CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml). Expression of Gp49 was measured by FACS on day 3. The data showed that the Gp49b knockout (KO) mouse exhibits characteristics of a double knockout (FIG. 30). To determine if Gp49b KO Th17 cells produce IL17, GM-CSF, IL1r1 and IL23r, CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells from the spleen of WT and Gp49b KO mice were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml). Expression of cytokines was analyzed by FACS and qPCR on day 4. The data showed that Gp49b KO Th17 cells produce less IL17, GM-CSF, IL1r1 and IL23r in vitro (FIG. 32). EAE scores in WT, Gp49het (heterozygous for the Gp49b disrupted allele) and Gp49KO (homozygous for the Gp49b disrupted allele) mice were compared to determine the effect of Gp49 disruption on EAE. EAE was induced by immunization with 50 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Brain and spinal cord were dissected on day28 for histology analysis. The results showed that the Gp49b KO mouse develops ameliorated EAE and Gp49a might be more dominant in Th17 and EAE (FIG. 34). Gp49a itself might have co-stimulatory signal because a double KO should have same phenotype as Gp49b KO. To determine the presence and amount of Treg cells in Gp49 KO mice, EAE was induced by immunization with 50 ug MOG (35-55) peptide and 500 μg of M. tuberculosis extract emulsified in complete Freund's adjuvant (CFA). Mice were further injected intraperitoneally (i.p.) with 200 ng pertussis toxin on days 0 and 2. Leukocytes were isolated from CNS at peak of disease and analyzed by FACS. The data showed that Gp49 KO mice have more Treg cells in the central nervous system but not dLN/Spleen at the peak of EAE (FIG. 36).

Role of Gp49 Ligand Integrin αvβ3.

Integrin αvβ3 is a known ligand of ILT-3 that induces human mast cell degranulation in a Gp49b dependent way. To determine the expression pattern of integrin αvβ3, FACs analysis was performed on various immune cell subsets. CD4⁺CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; IL1 (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of αv and β3 integrin were analyzed by FACS and qPCR on day 4. The results showed that αv is expressed by all activated T cells in vitro and β3 is expressed by a small proportion of Th0, Th2 & Th17 cells (FIG. 37). To determine whether integrin αvβ3 binds to Th17 cells, in vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged integrin αvβ3 in HBSS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS. The data showed that Integrin αvβ3 doesn't bind to Th17 cells in the presence of Ca2+ and Mg2+ (FIG. 38). The experiment was repeated in the absence of Ca2+ and Mg2+. In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged integrin αvβ3 in PBS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS. The data showed that Integrin αvβ3 also doesn't bind to Th17 cells in the absence of Ca2+ and Mg2+(FIG. 39). Next, the effect of plate-bound integrin was determined. Anti-CD3/CD28 beads were used at a ratio of 1:1. Naïve T cells were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with anti-CD3/CD28 Dynabeads (Thermo Fisher Scientific) in the presence of plate bound integrin αvβ3 (10 ug/ml) or BSA (10 ug/ml) as control. Cytokine production from Th17 cells was measured by FACS on day 4. The data showed that plate-bound integrin αvβ3 does not have much effect on Th17 cells (FIG. 40).

Role of Angiopoietins.

Applicants identified other novel ligands of ILT-3: angiopoietins and angiopoietin-like proteins. These proteins have been shown to bind human LILRB4 in ELISA. They are comprised of fibrinogen-like (receptor binding) domains; coiled coils (oligomerizing domains), and super-clustering (multimerizing) domains. In tetrameric form, the C′-terminus of the angiopoietin is a site where Angpt binds to Tie2/avb5, and Angptl3 binds to avb3. The coiled-coil domains are cleaved by proprotein convertase (Angptl3,4). The N′-terminus is required for clustering but is dispensable for angiogenic activity of Angpt1. Angpt13 and Angpt14 regulate metabolism. Non-limiting examples of angiopoietin mRNA sequences are provided below:

NM_001146; Homo sapiens angiopoietin 1 (ANGPT1), transcript variant 1, mRNA. (SEQ ID NO: 80) GCCCTAAGCCATCAGCAATCCTTAGTATAGGGGCACACTCATGCATTCCTGTCAAGTCAT CTTGTGAAAGGCTGCCTGCTTCCAGCTTGGCTTGGATGTGCAACCTTAATAAAACTCACT GAGGTCTGGGAGAAAATAGCAGATCTGCAGCAGATAGGGTAGAGGAAAGGGTCTAGAATA TGTACACGCAGCTGACTCAGGCAGGCTCCATGCTGAACGGTCACACAGAGAGGAAACAAT AAATCTCAGCTACTATGCAATAAATATCTCAAGTTTTAACGAAGAAAAACATCATTGCAG TGAAATAAAAAATTTTAAAATTTTAGAACAAAGCTAACAAATGGCTAGTTTTCTATGATT CTTCTTCAAACGCTTTCTTTGAGGGGGAAAGAGTCAAACAAACAAGCAGTTTTACCTGAA ATAAAGAACTAGTTTTAGAGGTCAGAAGAAAGGAGCAAGTTTTGCGAGAGGCACGGAAGG AGTGTGCTGGCAGTACAATGACAGTTTTCCTTTCCTTTGCTTTCCTCGCTGCCATTCTGA CTCACATAGGGTGCAGCAATCAGCGCCGAAGTCCAGAAAACAGTGGGAGAAGATATAACC GGATTCAACATGGGCAATGTGCCTACACTTTCATTCTTCCAGAACACGATGGCAACTGTC GTGAGAGTACGACAGACCAGTACAACACAAACGCTCTGCAGAGAGATGCTCCACACGTGG AACCGGATTTCTCTTCCCAGAAACTTCAACATCTGGAACATGTGATGGAAAATTATACTC AGTGGCTGCAAAAACTTGAGAATTACATTGTGGAAAACATGAAGTCGGAGATGGCCCAGA TACAGCAGAATGCAGTTCAGAACCACACGGCTACCATGCTGGAGATAGGAACCAGCCTCC TCTCTCAGACTGCAGAGCAGACCAGAAAGCTGACAGATGTTGAGACCCAGGTACTAAATC AAACTTCTCGACTTGAGATACAGCTGCTGGAGAATTCATTATCCACCTACAAGCTAGAGA AGCAACTTCTTCAACAGACAAATGAAATCTTGAAGATCCATGAAAAAAACAGTTTATTAG AACATAAAATCTTAGAAATGGAAGGAAAACACAAGGAAGAGTTGGACACCTTAAAGGAAG AGAAAGAGAACCTTCAAGGCTTGGTTACTCGTCAAACATATATAATCCAGGAGCTGGAAA AGCAATTAAACAGAGCTACCACCAACAACAGTGTCCTTCAGAAGCAGCAACTGGAGCTGA TGGACACAGTCCACAACCTTGTCAATCTTTGCACTAAAGAAGGTGTTTTACTAAAGGGAG GAAAAAGAGAGGAAGAGAAACCATTTAGAGACTGTGCAGATGTATATCAAGCTGGTTTTA ATAAAAGTGGAATCTACACTATTTATATTAATAATATGCCAGAACCCAAAAAGGTGTTTT GCAATATGGATGTCAATGGGGGAGGTTGGACTGTAATACAACATCGTGAAGATGGAAGTC TAGATTTCCAAAGAGGCTGGAAGGAATATAAAATGGGTTTTGGAAATCCCTCCGGTGAAT ATTGGCTGGGGAATGAGTTTATTTTTGCCATTACCAGTCAGAGGCAGTACATGCTAAGAA TTGAGTTAATGGACTGGGAAGGGAACCGAGCCTATTCACAGTATGACAGATTCCACATAG GAAATGAAAAGCAAAACTATAGGTTGTATTTAAAAGGTCACACTGGGACAGCAGGAAAAC AGAGCAGCCTGATCTTACACGGTGCTGATTTCAGCACTAAAGATGCTGATAATGACAACT GTATGTGCAAATGTGCCCTCATGTTAACAGGAGGATGGTGGTTTGATGCTTGTGGCCCCT CCAATCTAAATGGAATGTTCTATACTGCGGGACAAAACCATGGAAAACTGAATGGGATAA AGTGGCACTACTTCAAAGGGCCCAGTTACTCCTTACGTTCCACAACTATGATGATTCGAC CTTTAGATTTTTGAAAGCGCAATGTCAGAAGCGATTATGAAAGCAACAAAGAAATCCGGA GAAGCTGCCAGGTGAGAAACTGTTTGAAAACTTCAGAAGCAAACAATATTGTCTCCCTTC CAGCAATAAGTGGTAGTTATGTGAAGTCACCAAGGTTCTTGACCGTGAATCTGGAGCCGT TTGAGTTCACAAGAGTCTCTACTTGGGGTGACAGTGCTCACGTGGCTCGACTATAGAAAA CTCCACTGACTGTCGGGCTTTAAAAAGGGAAGAAACTGCTGAGCTTGCTGTGCTTCAAAC TACTACTGGACCTTATTTTGGAACTATGGTAGCCAGATGATAAATATGGTTAATTTCATG TAAAACAGAAAAAAAGAGTGAAAAAGAGAATATACATGAAGAATAGAAACAAGCCTGCCA TAATCCTTTGGAAAAGATGTATTATACCAGTGAAAAGGTGTTATATCTATGCAAACCTAC TAACAAATTATACTGTTGCACAATTTTGATAAAAATTTAGAACAGCATTGTCCTCTGAGT TGGTTAAATGTTAATGGATTTCAGAAGCCTAATTCCAGTATCATACTTACTAGTTGATTT CTGCTTACCCATCTTCAAATGAAAATTCCATTTTTGTAAGCCATAATGAACTGTAGTACA TGGACAATAAGTGTGTGGTAGAAACAAACTCCATTACTCTGATTTTTGATACAGTTTTCA GAAAAAGAAATGAACATAATCAAGTAAGGATGTATGTGGTGAAAACTTACCACCCCCATA CTATGGTTTTCATTTACTCTAAAAACTGATTGAATGATATATAAATATATTTATAGCCTG AGTAAAGTTAAAAGAATGTAAAATATATCATCAAGTTCTTAAAATAATATACATGCATTT AATATTTCCTTTGATATTATACAGGAAAGCAATATTTTGGAGTATGTTAAGTTGAAGTAA AAGCAAGTACTCTGGAGCAGTTCATTTTACAGTATCTACTTGCATGTGTATACATACATG TAACTTCATTATTTTAAAAATATTTTTAGAACTCCAATACTCACCCTGTTATGTCTTGCT AATTTAAATTTTGCTAATTAACTGAAACATGCTTACCAGATTCACACTGTTCCAGTGTCT ATAAAAGAAACACTTTGAAGTCTATAAAAAATAAAATAATTATAAATATCATTGTACATA GCATGTTTATATCTGCAAAAAACCTAATAGCTAATTAATCTGGAATATGCAACATTGTCC TTAATTGATGCAAATAACACAAATGCTCAAAGAAATCTACTATATCCCTTAATGAAATAC ATCATTCTTCATATATTTCTCCTTCAGTCCATTCCCTTAGGCAATTTTTAATTTTTAAAA ATTATTATCAGGGGAGAAAAATTGGCAAAACTATTATATGTAAGGGAAATATATACAAAA AGAAAATTAATCATAGTCACCTGACTAAGAAATTCTGACTGCTAGTTGCCATAAATAACT CAATGGAAATATTCCTATGGGATAATGTATTTTAAGTGAATTTTTGGGGTGCTTGAAGTT ACTGCATTATTTTATCAAGAAGTCTTCTCTGCCTGTAAGTGTCCAAGGTTATGACAGTAA ACAGTTTTTATTAAAACATGAGTCACTATGGGATGAGAAAATTGAAATAAAGCTACTGGG CCTCCTCTCATAAAAGAGACAGTTGTTGGCAAGGTAGCAATACCAGTTTCAAACTTGGTG ACTTGATCCACTATGCCTTAATGGTTTCCTCCATTTGAGAAAATAAAGCTATTCACATTG TTAAGAAAAATACTTTTTAAAGTTTACCATCAAGTCTTTTTTATATTTATGTGTCTGTAT TCTACCCCTTTTTGCCTTACAAGTGATATTTGCAGGTATTATACCATTTTTCTATTCTTG GTGGCTTCTTCATAGCAGGTAAGCCTCTCCTTCTAAAAACTTCTCAACTGTTTTCATTTA AGGGAAAGAAAATGAGTATTTTGTCCTTTTGTGTTCCTACAGACACTTTCTTAAACCAGT TTTTGGATAAAGAATACTATTTCCAAACTCATATTACAAAAACAAAATAAAATAATAAAA AAAGAAAGCATGATATTTACTGTTTTGTTGTCTGGGTTTGAGAAATGAAATATTGTTTCC AATTATTTATAATAAATCAGTATAAAATGTTTTATGATTGTTATGTGTATTATGTAATAC GTACATGTTTATGGCAATTTAACATGTGTATTCTTTTAATTGTTTCAGAATAGGATAATT AGGTATTCGAATTTTGTCTTTAAAATTCATGTGGTTTCTATGCAAAGTTCTTCATATCAT CACAACATTATTTGATTTAAATAAAATTGAAAGTAATATTTGTGCAA NM_001147; Homo sapiens angiopoietin 2 (ANGPT2), transcript  variant 1, mRNA. (SEQ ID NO: 81) AAAGTGATTGATTCGGATACTGACACTGTAGGATCTGGGGAGAGAGGAACAAAGGACCGT GAAAGCTGCTCTGTAAAAGCTGACACAGCCCTCCCAAGTGAGCAGGACTGTTCTTCCCAC TGCAATCTGACAGTTTACTGCATGCCTGGAGAGAACACAGCAGTAAAAACCAGGTTTGCT ACTGGAAAAAGAGGAAAGAGAAGACTTTCATTGACGGACCCAGCCATGGCAGCGTAGCAG CCCTGCGTTTTAGACGGCAGCAGCTCGGGACTCTGGACGTGTGTTTGCCCTCAAGTTTGC TAAGCTGCTGGTTTATTACTGAAGAAAGAATGTGGCAGATTGTTTTCTTTACTCTGAGCT GTGATCTTGTCTTGGCCGCAGCCTATAACAACTTTCGGAAGAGCATGGACAGCATAGGAA AGAAGCAATATCAGGTCCAGCATGGGTCCTGCAGCTACACTTTCCTCCTGCCAGAGATGG ACAACTGCCGCTCTTCCTCCAGCCCCTACGTGTCCAATGCTGTGCAGAGGGACGCGCCGC TCGAATACGATGACTCGGTGCAGAGGCTGCAAGTGCTGGAGAACATCATGGAAAACAACA CTCAGTGGCTAATGAAGCTTGAGAATTATATCCAGGACAACATGAAGAAAGAAATGGTAG AGATACAGCAGAATGCAGTACAGAACCAGACGGCTGTGATGATAGAAATAGGGACAAACC TGTTGAACCAAACAGCGGAGCAAACGCGGAAGTTAACTGATGTGGAAGCCCAAGTATTAA ATCAGACCACGAGACTTGAACTTCAGCTCTTGGAACACTCCCTCTCGACAAACAAATTGG AAAAACAGATTTTGGACCAGACCAGTGAAATAAACAAATTGCAAGATAAGAACAGTTTCC TAGAAAAGAAGGTGCTAGCTATGGAAGACAAGCACATCATCCAACTACAGTCAATAAAAG AAGAGAAAGATCAGCTACAGGTGTTAGTATCCAAGCAAAATTCCATCATTGAAGAACTAG AAAAAAAAATAGTGACTGCCACGGTGAATAATTCAGTTCTTCAGAAGCAGCAACATGATC TCATGGAGACAGTTAATAACTTACTGACTATGATGTCCACATCAAACTCAGCTAAGGACC CCACTGTTGCTAAAGAAGAACAAATCAGCTTCAGAGACTGTGCTGAAGTATTCAAATCAG GACACACCACGAATGGCATCTACACGTTAACATTCCCTAATTCTACAGAAGAGATCAAGG CCTACTGTGACATGGAAGCTGGAGGAGGCGGGTGGACAATTATTCAGCGACGTGAGGATG GCAGCGTTGATTTTCAGAGGACTTGGAAAGAATATAAAGTGGGATTTGGTAACCCTTCAG GAGAATATTGGCTGGGAAATGAGTTTGTTTCGCAACTGACTAATCAGCAACGCTATGTGC TTAAAATACACCTTAAAGACTGGGAAGGGAATGAGGCTTACTCATTGTATGAACATTTCT ATCTCTCAAGTGAAGAACTCAATTATAGGATTCACCTTAAAGGACTTACAGGGACAGCCG GCAAAATAAGCAGCATCAGCCAACCAGGAAATGATTTTAGCACAAAGGATGGAGACAACG ACAAATGTATTTGCAAATGTTCACAAATGCTAACAGGAGGCTGGTGGTTTGATGCATGTG GTCCTTCCAACTTGAACGGAATGTACTATCCACAGAGGCAGAACACAAATAAGTTCAACG GCATTAAATGGTACTACTGGAAAGGCTCAGGCTATTCGCTCAAGGCCACAACCATGATGA TCCGACCAGCAGATTTCTAAACATCCCAGTCCACCTGAGGAACTGTCTCGAACTATTTTC AAAGACTTAAGCCCAGTGCACTGAAAGTCACGGCTGCGCACTGTGTCCTCTTCCACCACA GAGGGCGTGTGCTCGGTGCTGACGGGACCCACATGCTCCAGATTAGAGCCTGTAAACTTT ATCACTTAAACTTGCATCACTTAACGGACCAAAGCAAGACCCTAAACATCCATAATTGTG ATTAGACAGAACACCTATGCAAAGATGAACCCGAGGCTGAGAATCAGACTGACAGTTTAC AGACGCTGCTGTCACAACCAAGAATGTTATGTGCAAGTTTATCAGTAAATAACTGGAAAA CAGAACACTTATGTTATACAATACAGATCATCTTGGAACTGCATTCTTCTGAGCACTGTT TATACACTGTGTAAATACCCATATGTCCTGAATTCACCATCACTATCACAATTAAAAGGA AGAAAAAAACTCTCTAAGCCATAAAAAGACATATTCAGGGATATTCTGAGAAGGGGTTAC TAGAAGTTTAATATTTGGAAAAACAGTTAGTGCATTTTTACTCCATCTCTTAGGTGCTTT AAATTTTTATTTCAAAAACAGCGTATTTACATTTATGTTGACAGCTTAGTTATAAGTTAA TGCTCAAATACGTATTTCAAATTTATATGGTAGAAACTTCCAGAATCTCTGAAATTATCA ACAGAAACGTGCCATTTTAGTTTATATGCAGACCGTACTATTTTTTTCTGCCTGATTGTT AAATATGAAGGTATTTTTAGTAATTAAATATAACTTATTAGGGGATATGCCTATGTTTAA CTTTTATGATAATATTTACAATTTTATAATTTGTTTCCAAAAGACCTAATTGTGCCTTGT GATAAGGAAACTTCTTACTTTTAATGATGAGGAAAATTATACATTTCATTCTATGACAAA GAAACTTTACTATCTTCTCACTATTCTAAAACAGAGGTCTGTTTTCTTTCCTAGTAAGAT ATATTTTTATAGAACTAGACTACAATTTAATTTCTGGTTGAGAAAAGCCTTCTATTTAAG AAATTTACAAAGCTATATGTCTCAAGATTCACCCTTAAATTTACTTAAGGAAAAAAATAA TTGACACTAGTAAGTTTTTTTATGTCAATCAGCAAACTGAAAAAAAAAAAAGGGTTTCAA AGTGCAAAAACAAAATCTGATGTTCATAATATATTTAAATATTTACCAAAAATTTGAGAA CACAGGGCTGGGCGCAGTGGCTCACACCTATAATCCCAGTACATTGGTAGGCAAGGTGGG CAGATCACCTGAGGTCAGGAGTTCAAGACCAGCCTGGACAACATGGTGAAACCCTGTCTC TACTAAATAATACAAAAATTAGCCAGGCGTGCTGGCGGGCACCTGTAATCCCAGCTACTC GGGAGGCTGAGGCAGGGAGAATTGCTTGCACCAGGGAGGTAGAGGTTGCAGTGAGCCAAG ATCGCACCACTGCACTCCAGCCGGGGCAACAGAGCAAGACTCCATCTCAAAAAAAAAAAA AAAAAAAGAAAGAAAAGAAAATTTGAGAACACAGCTTTATACTCGGGACTACAAAACCAT AAACTCCTGGAGTTTTAACTCCTTTTGAAATTTTCATAGTACAATTAATACTAATGAACA TTTGTGTAAAGCTTTATAATTTAAAGGCAATTTCTCATATATTCTTTTCTGAATCATTTG CAAGGAAGTTCAGAGTCCAGTCTGTAACTAGCATCTACTATATGTCTGTCTTCACCTTAC AGTGTTCTACCATTATTTTTTCTTTATTCCATTTCAAAATCTAATTTATTTTACCCCAAC TTCTCCCCACCACTTGACGTAGTTTTAGAACACACAGGTGTTGCTACATATTTGGAGTCA ATGATGGACTCTGGCAAAGTCAAGGCTCTGTTTTATTTCCACCAAGGTGCACTTTTCCAA CAACTATTTAACTAGTTAAGAACCTCCCTATCTTAGAACTGTATCTACTTTATATTTAAG AAGGTTTTATGAATTCAACAACGGTATCATGGCCTTGTATCAAGTTGAAAAACAACTGAA AATAAGAAAATTTCACAGCCTCGAAAGACAACAACAAGTTTCTAGGATATCTCAATGACA AGAGTGATGGATACTTAGGTAGGGAAACGCTAATGCAGGAAAAACTGGCAACAACACAAT TTATATCAATTCTCTTTGTAGGCAGGTGATAAAAAATTCAAGGACAAATCTCATTATGTC ATTGTGCATCATATATAATCTCTTATGAGCGAGAATGGGGGGAATTTGTGTTTTTACTTT ACACTTCAATTCCTTACACGGTATTTCAAACAAACAGTTTTGCTGAGAGGAGCTTTTGTC TCTCCTTAAGAAAATGTTTATAAAGCTGAAAGGAAATCAAACAGTAATCTTAAAAATGAA AACAAAACAACCCAACAACCTAGATAACTACAGTGATCAGGGAGCACAGTTCAACTCCTT GTTATGTTTTAGTCATATGGCCTACTCAAACAGCTAAATAACAACACCAGTGGCAGATAA AAATCACCATTTATCTTTCAGCTATTAATCTTTTGAATGAATAAACTGTGACAAACAAAT TAACATTTTTGAACATGAAAGGCAACTTCTGCACAATCCTGTATCCAAGCAAACTTTAAA TTATCCACTTAATTATTACTTAATCTTAAAAAAAATTAGAACCCAGAACTTTTCAATGAA GCATTTGAAAGTTGAAGTGGAATTTAGGAAAGCCATAAAAATATAAATACTGTTATCACA GCACCAGCAAGCCATAATCTTTATACCTATCAGTTCTATTTCTATTAACAGTAAAAACAT TAAGCAAGATATAAGACTACCTGCCCAAGAATTCAGTCTTTTTTCATTTTTGTTTTTCTC AGTTCTGAGGATGTTAATCGTCAAATTTTCTTTGGACTGCATTCCTCACTACTTTTTGCA CAATGGTCTCACGTTCTCACATTTGTTCTCGCGAATAAATTGATAAAAGGTGTTAAGTTC TGTGAATGTCTTTTTAATTATGGGCATAATTGTGCTTGACTGGATAAAAACTTAAGTCCA CCCTTATGTTTATAATAATTTCTTGAGAACAGCAAACTGCATTTACCATCGTAAAACAAC ATCTGACTTACGGGAGCTGCAGGGAAGTGGTGAGACAGTTCGAACGGCTCCTCAGAAATC CAGTGACCCAATTCTAAAGACCATAGCACCTGCAAGTGACACAACAAGCAGATTTATTAT ACATTTATTAGCCTTAGCAGGCAATAAACCAAGAATCACTTTGAAGACACAGCAAAAAGT GATACACTCCGCAGATCTGAAATAGATGTGTTCTCAGACAACAAAGTCCCTTCAGAATCT TCATGTTGCATAAATGTTATGAATATTAATAAAAAGTTGATTGAGAAAAA NM_004673; Homo sapiens angiopoietin like 1 (ANGPTL1), mRNA. (SEQ ID NO: 82) GGTACTGTATATACAATCTGGGTCAGCTGCAGCTGGTTACTGCATTTCTCCATGTGGCAG ACAGAGCAAAGCCACAACGCTTTCTCTGCTGGATTAAAGACGGCCCACAGACCAGAACTT CCACTATACTACTTAAAATTACATAGGTGGCTTGTCAAATTCAATTGATTAGTATTGTAA AAGGAAAAAGAAGTTCCTTCTTACAGCTTGGATTCAACGGTCCAAAACAAAAATGCAGCT GCCATTAAAGTCACAGATGAACAAACTTCTACACTGATTTTTAAAATCAAGAATAAGGGC AGCAAGTTTCTGGATTCACTGAATCAACAGACACAAAAAGCTGGCAATATAGCAACTATG AAGAGAAAAGCTACTAATAAAATTAACCCAACGCATAGAAGACTTTTTTTTCTCTTCTAA AAACAACTAAGTAAAGACTTAAATTTAAACACATCATTTTACAACCTCATTTCAAAATGA AGACTTTTACCTGGACCCTAGGTGTGCTATTCTTCCTACTAGTGGACACTGGACATTGCA GAGGTGGACAATTCAAAATTAAAAAAATAAACCAGAGAAGATACCCTCGTGCCACAGATG GTAAAGAGGAAGCAAAGAAATGTGCATACACATTCCTGGTACCTGAACAAAGAATAACAG GGCCAATCTGTGTCAACACCAAGGGGCAAGATGCAAGTACCATTAAAGACATGATCACCA GGATGGACCTTGAAAACCTGAAGGATGTGCTCTCCAGGCAGAAGCGGGAGATAGATGTTC TGCAACTGGTGGTGGATGTAGATGGAAACATTGTGAATGAGGTAAAGCTGCTGAGAAAGG AAAGCCGTAACATGAACTCTCGTGTTACTCAACTCTATATGCAATTATTACATGAGATTA TCCGTAAGAGGGATAATTCACTTGAACTTTCCCAACTGGAAAACAAAATCCTCAATGTCA CCACAGAAATGTTGAAGATGGCAACAAGATACAGGGAACTAGAGGTGAAATACGCTTCCT TGACTGATCTTGTCAATAACCAATCTGTGATGATCACTTTGTTGGAAGAACAGTGCTTGA GGATATTTTCCCGACAAGACACCCATGTGTCTCCCCCACTTGTCCAGGTGGTGCCACAAC ATATTCCTAACAGCCAACAGTATACTCCTGGTCTGCTGGGAGGTAACGAGATTCAGAGGG ATCCAGGTTATCCCAGAGATTTAATGCCACCACCTGATCTGGCAACTTCTCCCACCAAAA GCCCTTTCAAGATACCACCGGTAACTTTCATCAATGAAGGACCATTCAAAGACTGTCAGC AAGCAAAAGAAGCTGGGCATTCGGTCAGTGGGATTTATATGATTAAACCTGAAAACAGCA ATGGACCAATGCAGTTATGGTGTGAAAACAGTTTGGACCCTGGGGGTTGGACTGTTATTC AGAAAAGAACAGACGGCTCTGTCAACTTCTTCAGAAATTGGGAAAATTATAAGAAAGGGT TTGGAAACATTGACGGAGAATACTGGCTTGGACTGGAAAATATCTATATGCTTAGCAATC AAGATAATTACAAGTTATTGATTGAATTAGAAGACTGGAGTGATAAAAAAGTCTATGCAG AATACAGCAGCTTTCGTCTGGAACCTGAAAGTGAATTCTATAGACTGCGCCTGGGAACTT ACCAGGGAAATGCAGGGGATTCTATGATGTGGCATAATGGTAAACAATTCACCACACTGG ACAGAGATAAAGATATGTATGCAGGAAACTGCGCCCACTTTCATAAAGGAGGCTGGTGGT ACAATGCCTGTGCACATTCTAACCTAAATGGAGTATGGTACAGAGGAGGCCATTACAGAA GCAAGCACCAAGATGGAATTTTCTGGGCCGAATACAGAGGCGGGTCATACTCCTTAAGAG CAGTTCAGATGATGATCAAGCCTATTGACTGAAGAGAGACACTCGCCAATTTAAATGACA CAGAACTTTGTACTTTTCAGCTCTTAAAAATGTAAATGTTACATGTATATTACTTGGCAC AATTTATTTCTACACAGAAAGTTTTTAAAATGAATTTTACCGTAACTATAAAAGGGAACC TATAAATGTAGTTTCATCTGTCGTCAATTACTGCAGAAAATTATGTGTATCCACAACCTA GTTATTTTAAAAATTATGTTGACTAAATACAAAGTTTGTTTTCTAAAATGTAAATATTTG CCACAATGTAAAGCAAATCTTAGCTATATTTTAAATCATAAATAACATGTTCAAGATACT TAACAATTTATTTAAAATCTAAGATTGCTCTAACGTCTAGTGAAAAAAATATTTTTAAAA TTTCAGCCAAATAATGCATTTTATTTATAAAAATACAGACAGAAAATTAGGGAGAAACCT CTAGTTTTGCCAATAGAAAATGCTTCTTCCATTGAATAAAAGTTATTTCAAATTGAATTT GTGCCTTTCACACGTAATGATTAAATCTGAATTCTTAATAATATATCCTATGCTGATTTT CCCAAAACATGACCCATAGTATTAAATACATATCATTTTTAAAAATAAAAAAAAACCCAA AAATAATGCATGCATAATTTAAATGGTCAATTTATAAAGACAAATCTATGAATGAATTTT TCAGTGTTATCTTCATATGATATGCTGAACACCAAAATCTCCAGAAATGCATTTTATGTA GTTCTAAAATCAGCAAAATATTGGTATTACAAAAATGCAGAATATTTAGTGTGCTACAGA TCTGAATTATAGTTCTAATTTATTATTACTTTTTTTCTAATTTACTGATCTTACTACTAC AAAGAAAAAAAAACCCAACCAATCTGCAATTCAAATCAGAAAGTTTGGACAGCTTTACAA GTATTAGTGCATGCTCAGAACAGGTGGGACTAAAACAAACTCAAGGAACTGTTGGCTGTT TTCCCGATACTGAGAATTCAACAGCTCCAGAGCAGAAGCCACAGGGGCATAGCTTAGTCC AAACTGCTAATTTCATTTTACAGTGTATGTAACGCTTAGTCTCACAGTGTCTTTAACTCA TCTTTGCAATCAACAACTTTACTAGTGACTTTCTGGAACAATTTCCTTTCAGGAATACAT ATTCACTGCTTAGAGGTGACCTTGCCTTAATATATTTGTGAAGTTAAAATTTTAAAGATA GCTCATGAAACTTTTGCTTAAGCAAAAAGAAAACCTCGAATTGAAATGTGTGAGGCAAAC TATGCATGGGAATAGCTTAATGTGAAGATAATCATTTGGACAACTCAAATCCATCAACAT GACCAATGTTTTTCATCTGCCACATCTCAAAATAAAACTTCTGGTGAAACAAATTAAACA AAATATCCAAACCTCATAGTGGTATTATTCTTTGTTTTACCTGTGGTCATCTTAAACTGG TTTTTCAGTCCCTCTCCACTTCCTTCAGAACCAAAGAATCTGTTATAAGATTCCTGGAAG GAACTGGGCATCTAACTGTTACACCAAATCTTAAGTGAATAAAACTTTACCAAGGCTTCT CAGTTAAAAAAAAAA NM_015985; Homo sapiens angiopoietin 4 (ANGPT4), transcript variant 1, mRNA. (SEQ ID NO: 83) AGACAGAGGTTTGTAGCTGCAGCTGCAGGCAAGCCTGGCCACTGTTGGCTGCAGCAGGAC ATCCCAGGCACAGCCCCTAGGGCTCTGAGCAGACATCCCTCGCCATTGACACATCTTCAG ATGCTCTCCCAGCTAGCCATGCTGCAGGGCAGCCTCCTCCTTGTGGTTGCCACCATGTCT GTGGCTCAACAGACAAGGCAGGAGGCGGATAGGGGCTGCGAGACACTTGTAGTCCAGCAC GGCCACTGTAGCTACACCTTCTTGCTGCCCAAGTCTGAGCCCTGCCCTCCGGGGCCTGAG GTCTCCAGGGACTCCAACACCCTCCAGAGAGAATCACTGGCCAACCCACTGCACCTGGGG AAGTTGCCCACCCAGCAGGTGAAACAGCTGGAGCAGGCACTGCAGAACAACACGCAGTGG CTGAAGAAGCTAGAGAGGGCCATCAAGACGATCTTGAGGTCGAAGCTGGAGCAGGTCCAG CAGCAAATGGCCCAGAATCAGACGGCCCCCATGCTAGAGCTGGGCACCAGCCTCCTGAAC CAGACCACTGCCCAGATCCGCAAGCTGACCGACATGGAGGCTCAGCTCCTGAACCAGACA TCAAGAATGGATGCCCAGATGCCAGAGACCTTTCTGTCCACCAACAAGCTGGAGAACCAG CTGCTGCTACAGAGGCAGAAGCTCCAGCAGCTTCAGGGCCAAAACAGCGCGCTCGAGAAG CGGTTGCAGGCCCTGGAGACCAAGCAGCAGGAGGAGCTGGCCAGCATCCTCAGCAAGAAG GCGAAGCTGCTGAACACGCTGAGCCGCCAGAGCGCCGCCCTCACCAACATCGAGCGCGGC CTGCGCGGTGTCAGGCACAACTCCAGCCTCCTGCAGGACCAGCAGCACAGCCTGCGCCAG CTGCTGGTGTTGTTGCGGCACCTGGTGCAAGAAAGGGCTAACGCCTCGGCCCCGGCCTTC ATAATGGCAGGTGAGCAGGTGTTCCAGGACTGTGCAGAGATCCAGCGCTCTGGGGCCAGT GCCAGTGGTGTCTACACCATCCAGGTGTCCAATGCAACGAAGCCCAGGAAGGTGTTCTGT GACCTGCAGAGCAGTGGAGGCAGGTGGACCCTCATCCAGCGCCGTGAGAATGGCACCGTG AATTTTCAGCGGAACTGGAAGGATTACAAACAGGGCTTCGGAGACCCAGCTGGGGAGCAC TGGCTGGGCAATGAAGTGGTGCACCAGCTCACCAGAAGGGCAGCCTACTCTCTGCGTGTG GAGCTGCAAGACTGGGAAGGCCACGAGGCCTATGCCCAGTACGAACATTTCCACCTGGGC AGTGAGAACCAGCTATACAGGCTTTCTGTGGTCGGGTACAGCGGCTCAGCAGGGCGCCAG AGCAGCCTGGTCCTGCAGAACACCAGCTTTAGCACCCTTGACTCAGACAACGACCACTGT CTCTGCAAGTGTGCCCAAGTGATGTCTGGAGGGTGGTGGTTTGACGCCTGTGGCCTGTCA AACCTCAACGGCGTCTACTACCACGCTCCCGACAACAAGTACAAGATGGACGGCATCCGC TGGCACTACTTCAAGGGCCCCAGCTACTCACTGCGTGCCTCTCGCATGATGATACGGCCT TTGGACATCTAACGAGCAGCTGTGCCAGAGGCTGGACCACACAGGAGAAGCTCGGACTTG GCACTCCTGGACAACCTGGACCCAGATGCAAGACACTGTGCCACCGCCTTCCCTGACACC CTGGGCTTCCTGAGCCAGCCCTCCTTGACCCAGAAGTCCAGAAGGGTCATCTGCCCCCCA ACTCCCCTCCGTCTGTGACATGGAGGGTGTTCGGGGCCCATCCCTCTGATGTAGTCCTCG CCCCTCTTCTCTCCCTCCCCCTTCAGGGGCTCCCTGCCTGAGGGTCACAGTACCTTGAAT GGGCTGAGAACAGACCAAACTTGATTCCCATGACCAATGGTGGGGTTGCAGGCAGGTGGG AATGTATTTGCACATCGGAAGCTGCCCAGATGGCCCAGGTTCTCTCCCTTGGATTGGCAA GAAGGCCATCTCCCATTCTAAGCTCCTGTTCCAAGATTTTCTAGTCTTGAGATGTCCTTG AACTTTCTTTTCAAGTCTGAAGGGGCTGCATCCACCCCTTAGTGGGTGGGTTAATCATTA TTTCCCCTTCACACTTCACCACTTCTAGGTTCTAATGACCCTAGATCTCAGGGTCTTTAG ACTTCACCACTTCTAGGCTTTACCACTTCACCACTTCTAGGCTCCAATGTTTGGAGCTCA GGGTCTTTAGGAGACCCAAAAGGACATGCTCCTTCACCTCCAGCATGTCCTAGAGGATGT GTCACAGGGAATAACTATGGCTTGTCTCTAAAAGTACCTATGAGCAATGAGAAAAGGAAA CAGCAGGTTAAGTCAAAGTGAACAGGCACTCTTCACTGCAGGACTGATCAGAGCCTTTAA TATGGCCAAGTGCCTTGTGACTACCCATGAAGGGGCTAGAGTGGGCAGCTTTCTCCAAAT TTACTTATTTGAAAATGGGCTCGGTTTGTCCCAGAGCATCTCACAGGACTGTAGATGCTC TTGGACAAAGCTAGTGCTCCCCTGGCATAAGGAGGAGCCCTACGACCCCATCCCCACCCC AGCTATACTCACCCTTTTTGGCTACAAGGGCCACAGTGACAGCCTCAAACAACCTCTAAA AACAACTGGAAATAACCTTTCAGTTAAAACAGATACCATCCCTGAAGAAGGGTCTAGAAC TAGGTCCCTGTCTGTGTTATAGGCTCATGTCCTCCAAGGCTCCTTCAAGTCCCAGGAAGC TGATCTCTACCTGGGTGGCTTCCCTTAGGACTCCCTGTAACCTCAACTCCCCCAGGCTCA ATTACAGGGACTGTTAGGCAGGACATCTGTCTCCAAGTCCAGATCCTCTCTGCCTCCAAG CCCTAACCCCTAGCCTCCCTCCCTTCCCCATCCAGCAGTGATGCTGCCTCTGTGGTGGTA GGTGGGGAGCTGCAGGGGAGGAGATAAGGCCTCTGCCTGAGTTTGGGAGACCAGGGCCCT CATAGCTTCTTTCAGAGGATGGAGTCAGAAAGGATCCACAGCTACTCTGTCACCTGCCCC CATCACTGTGTCATGCTGTCTGCCCTGTTGTCATCAGCCAACACCCAGGCATAGCCAGGA GCCCACCTGCCCTACCGCCAGGATACACCTCTGTCCTCAGAAGGTTTTCTCCTGGATGAG ACTGAGCCAATGGGAATGGGACCCCTTCATCCCCCTGGCTCGCCCCAGCCCTGAGTCCCA CTCTCAGCCGATCCCTGAGTAAACCCAGCACAGACTGACTTTGATCTCATTCCTGGGAAT TAGCACTCTTCCCCTTCAAGACTCAAAGGACATGGTTGCTAATGGTGGCATTTCAGGCAT GATGGGAAATCTTTAGGGGCAGATTGCTGCCCAGAGAGCTCAAATCGCCTTAAGCAGCAT TTGCCCAGCAGACCTTTATTTAGCCTCTACTGTGTGCAGTGTGGTGTGGTGGGCAGGGCT TTGGAGTCGGACAAACCTGCTCCAGCTCTGACACTTTGGTCCAGTGGCTCAGCCTCTCAA GGCACCAGTTATCTTCACATCATCAAAGCCTCAGTTTTCCCATCTGTAAAATGGAGATGA TAATATTCCTTCCTGGCTGGGCTATGGCAAGGAGGAAATGAGACCATGTATGTCATCTTC TTAATAGAGCCTGGCATGAAGCAGGTGCCTAATAAATGTTTGTCCTCAAAGAGGAGAATG GGGTGAGGAAGGCATTCCCCAGCACATGCCGCCCCTTCTCCTGCACTCAGGTGAGGAAAA GGCATTTTATTTTTGTATCCACATCATTTATTTTTCTATTGTAGTTTCTAGGCTGACTGC AAGCTAGAGAGGAGACAGGGCAAAGCTGTGAGGCCCAGGGACAGAACTCCTCTGGGTGGG TTGAAGGCCCAAGTCCCTCTCTACTCCCATTTTATAAGGGGGCAGGAAGCTGATTTGAGT TATCCTCAGACACCTGTTCTTTATGTAATTTTATTTTATTTTTTTGAGACAGAGTCTCAC TCTGTCACCCAGGCTGGAGTGCAGTGGCATGATCTCAGATCACTGCAATCTCTGCCTCCT GGTTCAAGTGATTCTCCTACCTCAGCCTCCTGAGTAATGGGATTACAGACGCCTACCACC ACGCCCGGAAAACTTTTGTATTTTTAGTAGAAACGGGTTTTCACCATGTTGGCCAGGCTG GTCTCAAACTCCTGGCCTCATGTGATCCACCTGCCTCAGCCTCCCAAAGTGCTGGGATTA CAGGCATGAGCCACCATACCCAGCCTCAGACACCTGTTCTTAAATATTCATCCTTCTTTC TTACCTTCCTTCCTCTTCCATGCCAGGACTCAGGTATAAGGGATAGAAATTCTAGCCCTA AGGAATAAATTGACTCACATAACTGGAAAGTCTAAGGGTAAAGGCAAGTGAGGTTAGATC CAGAGGCTCAAATGATGTCAGCTCCACCTCTCAGCCCCTCCATCTGCCCCGTTGACTTCA TTCTCAGCCAGGATCTTTCCTCACAAGAAGGCTCTGGCAGCCCCAGGCTCATGTCCTCCC AGCTCAGCATCCCTGACCCGGGGAGCTCCCTCGTCTCCATGATTCCAGTAAAGGAATGAT TTTCTGCAGCCAGAAAAAAAAAAAAAAAAAA NM_004673; Homo sapiens angiopoietin like 1 (ANGPTL1), mRNA. (SEQ ID NO: 84) GGTACTGTATATACAATCTGGGTCAGCTGCAGCTGGTTACTGCATTTCTCCATGTGGCAG ACAGAGCAAAGCCACAACGCTTTCTCTGCTGGATTAAAGACGGCCCACAGACCAGAACTT CCACTATACTACTTAAAATTACATAGGTGGCTTGTCAAATTCAATTGATTAGTATTGTAA AAGGAAAAAGAAGTTCCTTCTTACAGCTTGGATTCAACGGTCCAAAACAAAAATGCAGCT GCCATTAAAGTCACAGATGAACAAACTTCTACACTGATTTTTAAAATCAAGAATAAGGGC AGCAAGTTTCTGGATTCACTGAATCAACAGACACAAAAAGCTGGCAATATAGCAACTATG AAGAGAAAAGCTACTAATAAAATTAACCCAACGCATAGAAGACTTTTTTTTCTCTTCTAA AAACAACTAAGTAAAGACTTAAATTTAAACACATCATTTTACAACCTCATTTCAAAATGA AGACTTTTACCTGGACCCTAGGTGTGCTATTCTTCCTACTAGTGGACACTGGACATTGCA GAGGTGGACAATTCAAAATTAAAAAAATAAACCAGAGAAGATACCCTCGTGCCACAGATG GTAAAGAGGAAGCAAAGAAATGTGCATACACATTCCTGGTACCTGAACAAAGAATAACAG GGCCAATCTGTGTCAACACCAAGGGGCAAGATGCAAGTACCATTAAAGACATGATCACCA GGATGGACCTTGAAAACCTGAAGGATGTGCTCTCCAGGCAGAAGCGGGAGATAGATGTTC TGCAACTGGTGGTGGATGTAGATGGAAACATTGTGAATGAGGTAAAGCTGCTGAGAAAGG AAAGCCGTAACATGAACTCTCGTGTTACTCAACTCTATATGCAATTATTACATGAGATTA TCCGTAAGAGGGATAATTCACTTGAACTTTCCCAACTGGAAAACAAAATCCTCAATGTCA CCACAGAAATGTTGAAGATGGCAACAAGATACAGGGAACTAGAGGTGAAATACGCTTCCT TGACTGATCTTGTCAATAACCAATCTGTGATGATCACTTTGTTGGAAGAACAGTGCTTGA GGATATTTTCCCGACAAGACACCCATGTGTCTCCCCCACTTGTCCAGGTGGTGCCACAAC ATATTCCTAACAGCCAACAGTATACTCCTGGTCTGCTGGGAGGTAACGAGATTCAGAGGG ATCCAGGTTATCCCAGAGATTTAATGCCACCACCTGATCTGGCAACTTCTCCCACCAAAA GCCCTTTCAAGATACCACCGGTAACTTTCATCAATGAAGGACCATTCAAAGACTGTCAGC AAGCAAAAGAAGCTGGGCATTCGGTCAGTGGGATTTATATGATTAAACCTGAAAACAGCA ATGGACCAATGCAGTTATGGTGTGAAAACAGTTTGGACCCTGGGGGTTGGACTGTTATTC AGAAAAGAACAGACGGCTCTGTCAACTTCTTCAGAAATTGGGAAAATTATAAGAAAGGGT TTGGAAACATTGACGGAGAATACTGGCTTGGACTGGAAAATATCTATATGCTTAGCAATC AAGATAATTACAAGTTATTGATTGAATTAGAAGACTGGAGTGATAAAAAAGTCTATGCAG AATACAGCAGCTTTCGTCTGGAACCTGAAAGTGAATTCTATAGACTGCGCCTGGGAACTT ACCAGGGAAATGCAGGGGATTCTATGATGTGGCATAATGGTAAACAATTCACCACACTGG ACAGAGATAAAGATATGTATGCAGGAAACTGCGCCCACTTTCATAAAGGAGGCTGGTGGT ACAATGCCTGTGCACATTCTAACCTAAATGGAGTATGGTACAGAGGAGGCCATTACAGAA GCAAGCACCAAGATGGAATTTTCTGGGCCGAATACAGAGGCGGGTCATACTCCTTAAGAG CAGTTCAGATGATGATCAAGCCTATTGACTGAAGAGAGACACTCGCCAATTTAAATGACA CAGAACTTTGTACTTTTCAGCTCTTAAAAATGTAAATGTTACATGTATATTACTTGGCAC AATTTATTTCTACACAGAAAGTTTTTAAAATGAATTTTACCGTAACTATAAAAGGGAACC TATAAATGTAGTTTCATCTGTCGTCAATTACTGCAGAAAATTATGTGTATCCACAACCTA GTTATTTTAAAAATTATGTTGACTAAATACAAAGTTTGTTTTCTAAAATGTAAATATTTG CCACAATGTAAAGCAAATCTTAGCTATATTTTAAATCATAAATAACATGTTCAAGATACT TAACAATTTATTTAAAATCTAAGATTGCTCTAACGTCTAGTGAAAAAAATATTTTTAAAA TTTCAGCCAAATAATGCATTTTATTTATAAAAATACAGACAGAAAATTAGGGAGAAACCT CTAGTTTTGCCAATAGAAAATGCTTCTTCCATTGAATAAAAGTTATTTCAAATTGAATTT GTGCCTTTCACACGTAATGATTAAATCTGAATTCTTAATAATATATCCTATGCTGATTTT CCCAAAACATGACCCATAGTATTAAATACATATCATTTTTAAAAATAAAAAAAAACCCAA AAATAATGCATGCATAATTTAAATGGTCAATTTATAAAGACAAATCTATGAATGAATTTT TCAGTGTTATCTTCATATGATATGCTGAACACCAAAATCTCCAGAAATGCATTTTATGTA GTTCTAAAATCAGCAAAATATTGGTATTACAAAAATGCAGAATATTTAGTGTGCTACAGA TCTGAATTATAGTTCTAATTTATTATTACTTTTTTTCTAATTTACTGATCTTACTACTAC AAAGAAAAAAAAACCCAACCAATCTGCAATTCAAATCAGAAAGTTTGGACAGCTTTACAA GTATTAGTGCATGCTCAGAACAGGTGGGACTAAAACAAACTCAAGGAACTGTTGGCTGTT TTCCCGATACTGAGAATTCAACAGCTCCAGAGCAGAAGCCACAGGGGCATAGCTTAGTCC AAACTGCTAATTTCATTTTACAGTGTATGTAACGCTTAGTCTCACAGTGTCTTTAACTCA TCTTTGCAATCAACAACTTTACTAGTGACTTTCTGGAACAATTTCCTTTCAGGAATACAT ATTCACTGCTTAGAGGTGACCTTGCCTTAATATATTTGTGAAGTTAAAATTTTAAAGATA GCTCATGAAACTTTTGCTTAAGCAAAAAGAAAACCTCGAATTGAAATGTGTGAGGCAAAC TATGCATGGGAATAGCTTAATGTGAAGATAATCATTTGGACAACTCAAATCCATCAACAT GACCAATGTTTTTCATCTGCCACATCTCAAAATAAAACTTCTGGTGAAACAAATTAAACA AAATATCCAAACCTCATAGTGGTATTATTCTTTGTTTTACCTGTGGTCATCTTAAACTGG TTTTTCAGTCCCTCTCCACTTCCTTCAGAACCAAAGAATCTGTTATAAGATTCCTGGAAG GAACTGGGCATCTAACTGTTACACCAAATCTTAAGTGAATAAAACTTTACCAAGGCTTCT CAGTTAAAAAAAAAA NM_012098 Homo sapiens angiopoietin like 2 (ANGPTL2), mRNA. (SEQ ID NO: 85) GCCTTTCTGGGGCCTGGGGGATCCTCTTGCACTGGTGGGTGGAGAGAAGCGCCTGCAGCC AACCAGGGTCAGGCTGTGCTCACAGTTTCCTCTGGCGGCATGTAAAGGCTCCACAAAGGA GTTGGGAGTTCAAATGAGGCTGCTGCGGACGGCCTGAGGATGGACCCCAAGCCCTGGACC TGCCGAGCGTGGCACTGAGGCAGCGGCTGACGCTACTGTGAGGGAAAGAAGGTTGTGAGC AGCCCCGCAGGACCCCTGGCCAGCCCTGGCCCCAGCCTCTGCCGGAGCCCTCTGTGGAGG CAGAGCCAGTGGAGCCCAGTGAGGCAGGGCTGCTTGGCAGCCACCGGCCTGCAACTCAGG AACCCCTCCAGAGGCCATGGACAGGCTGCCCCGCTGACGGCCAGGGTGAAGCATGTGAGG AGCCGCCCCGGAGCCAAGCAGGAGGGAAGAGGCTTTCATAGATTCTATTCACAAAGAATA ACCACCATTTTGCAAGGACCATGAGGCCACTGTGCGTGACATGCTGGTGGCTCGGACTGC TGGCTGCCATGGGAGCTGTTGCAGGCCAGGAGGACGGTTTTGAGGGCACTGAGGAGGGCT CGCCAAGAGAGTTCATTTACCTAAACAGGTACAAGCGGGCGGGCGAGTCCCAGGACAAGT GCACCTACACCTTCATTGTGCCCCAGCAGCGGGTCACGGGTGCCATCTGCGTCAACTCCA AGGAGCCTGAGGTGCTTCTGGAGAACCGAGTGCATAAGCAGGAGCTAGAGCTGCTCAACA ATGAGCTGCTCAAGCAGAAGCGGCAGATCGAGACGCTGCAGCAGCTGGTGGAGGTGGACG GCGGCATTGTGAGCGAGGTGAAGCTGCTGCGCAAGGAGAGCCGCAACATGAACTCGCGGG TCACGCAGCTCTACATGCAGCTCCTGCACGAGATCATCCGCAAGCGGGACAACGCGTTGG AGCTCTCCCAGCTGGAGAACAGGATCCTGAACCAGACAGCCGACATGCTGCAGCTGGCCA GCAAGTACAAGGACCTGGAGCACAAGTACCAGCACCTGGCCACACTGGCCCACAACCAAT CAGAGATCATCGCGCAGCTTGAGGAGCACTGCCAGAGGGTGCCCTCGGCCAGGCCCGTCC CCCAGCCACCCCCCGCTGCCCCGCCCCGGGTCTACCAACCACCCACCTACAACCGCATCA TCAACCAGATCTCTACCAACGAGATCCAGAGTGACCAGAACCTGAAGGTGCTGCCACCCC CTCTGCCCACTATGCCCACTCTCACCAGCCTCCCATCTTCCACCGACAAGCCGTCGGGCC CATGGAGAGACTGCCTGCAGGCCCTGGAGGATGGCCACGACACCAGCTCCATCTACCTGG TGAAGCCGGAGAACACCAACCGCCTCATGCAGGTGTGGTGCGACCAGAGACACGACCCCG GGGGCTGGACCGTCATCCAGAGACGCCTGGATGGCTCTGTTAACTTCTTCAGGAACTGGG AGACGTACAAGCAAGGGTTTGGGAACATTGACGGCGAATACTGGCTGGGCCTGGAGAACA TTTACTGGCTGACGAACCAAGGCAACTACAAACTCCTGGTGACCATGGAGGACTGGTCCG GCCGCAAAGTCTTTGCAGAATACGCCAGTTTCCGCCTGGAACCTGAGAGCGAGTATTATA AGCTGCGGCTGGGGCGCTACCATGGCAATGCGGGTGACTCCTTTACATGGCACAACGGCA AGCAGTTCACCACCCTGGACAGAGATCATGATGTCTACACAGGAAACTGTGCCCACTACC AGAAGGGAGGCTGGTGGTATAACGCCTGTGCCCACTCCAACCTCAACGGGGTCTGGTACC GCGGGGGCCATTACCGGAGCCGCTACCAGGACGGAGTCTACTGGGCTGAGTTCCGAGGAG GCTCTTACTCACTCAAGAAAGTGGTGATGATGATCCGACCGAACCCCAACACCTTCCACT AAGCCAGCTCCCCCTCCTGACCTCTCGTGGCCATTGCCAGGAGCCCACCCTGGTCACGCT GGCCACAGCACAAAGAACAACTCCTCACCAGTTCATCCTGAGGCTGGGAGGACCGGGATG CTGGATTCTGTTTTCCGAAGTCACTGCAGCGGATGATGGAACTGAATCGATACGGTGTTT TCTGTCCCTCCTACTTTCCTTCACACCAGACAGCCCCTCATGTCTCCAGGACAGGACAGG ACTACAGACAACTCTTTCTTTAAATAAATTAAGTCTCTACAATAAAAACACAACTGCAAA GTACCTTCATAATATACATGTGTATGAGCCTCCCTTGTGCACGTATGTGTATACCACATA TATATGCATTTAGATATACATCACATGTGATATATCTAGATCCATATATAGGTTTGCCTT AGATACCTAAATACACATATATTCAGTTCTCAGATGTTGAAGCTGTCACCAGCAGCTTTG CTCTTAGGAGAAAAGCATTTCATTAGTGTTGTATTACTTGAGTCTAAGGGTAGATCACAG ACTGTGTGGTCTCAACTGAAAGGATCACCCTTGGCATCTGTGTGCCTGGATTCTTCCAGA ATGTCTACAATGCTAATCTCTCACATAGAGGTTCCCAGCTTCTTAAGAACCCCTTTTGGC ACCTAATCAAATTTCAAAATCCCTCCCCCCACATTTTCATACTTTTCCCCATTCTCAGGA CTTTTCACCATCCATCACCCACTTATCCCTTCATTTGACACCATTCATTAAGTGCCTTCT GTGTGTCAGTCCCTGGCCACTCACTGCAGTTCAAGGCCCCCTTTCCGCTCTGCTGTACTC CTCGCCTACCTACTCCTTGCCTTTTCTGTCGCACAGCCCCTTCTTTCCAGGCGAGATTCC TCAGCTTCTGAGTAGGAAACACTCCGGGCTCCAGGTTTCTGGTTGGGAAGGGAAGGCCAG GCCAAAAGCTCCACCGGCCGTATAGATAATGTACTCGCAGTTTTGTATCTTCCATTCATA CTTTAACCTACAGGTCATTTGAGTCTTCACACAAATAATAACCTATCTGGCCAGGAGAAT TATCTCAGAACAGAAGTCATCAGATCATCAGAGCCCCCAGATGGCTACAGACCAGAGATT CCACGCTCTCAGGCTGACTAGAGTCCGCATCTCATCTCCAAACTACACTTCCCTGGAGAA CAAGTGCCACAAAAATGAAAACAGGCCACTTCTCAGGAGTTGAATAATCAGGGGTCACCG GACCCCTTGGTTGATGCACTGCAGCATGGTGGCTTTCTGAGTCCTGTTGGCCACCAAGTG TCAGCCTCAGCACTCCCGGGACTATTGCCAAGAAGGGGCAAGGGATGAGTCAAGAAGGTG AGACCCTTCCCGGTGGGCACGTGGGCCAGGCTGTGTGAGATGTTGGATGTTTGGTACTGT CCATGTCTGGGTGTGTGCCTATTACCTCAGCATTTCTCACAAAGTGTACCATGTAGCATG TTTTGTGTATATAAAAGGGAGGGTTTTTTTAAAAATATATTCCCAGATTATCCTTGTAAT GACACGAATCTGCAATAAAAGCCATCAGTGCT NM_014495; Homo sapiens angiopoietin like 3 (ANGPTL3), mRNA. (SEQ ID NO: 86) ATATATAGAGTTAAGAAGTCTAGGTCTGCTTCCAGAAGAAAACAGTTCCACGTTGCTTGA AATTGAAAATCAAGATAAAAATGTTCACAATTAAGCTCCTTCTTTTTATTGTTCCTCTAG TTATTTCCTCCAGAATTGATCAAGACAATTCATCATTTGATTCTCTATCTCCAGAGCCAA AATCAAGATTTGCTATGTTAGACGATGTAAAAATTTTAGCCAATGGCCTCCTTCAGTTGG GACATGGTCTTAAAGACTTTGTCCATAAGACGAAGGGCCAAATTAATGACATATTTCAAA AACTCAACATATTTGATCAGTCTTTTTATGATCTATCGCTGCAAACCAGTGAAATCAAAG AAGAAGAAAAGGAACTGAGAAGAACTACATATAAACTACAAGTCAAAAATGAAGAGGTAA AGAATATGTCACTTGAACTCAACTCAAAACTTGAAAGCCTCCTAGAAGAAAAAATTCTAC TTCAACAAAAAGTGAAATATTTAGAAGAGCAACTAACTAACTTAATTCAAAATCAACCTG AAACTCCAGAACACCCAGAAGTAACTTCACTTAAAACTTTTGTAGAAAAACAAGATAATA GCATCAAAGACCTTCTCCAGACCGTGGAAGACCAATATAAACAATTAAACCAACAGCATA GTCAAATAAAAGAAATAGAAAATCAGCTCAGAAGGACTAGTATTCAAGAACCCACAGAAA TTTCTCTATCTTCCAAGCCAAGAGCACCAAGAACTACTCCCTTTCTTCAGTTGAATGAAA TAAGAAATGTAAAACATGATGGCATTCCTGCTGAATGTACCACCATTTATAACAGAGGTG AACATACAAGTGGCATGTATGCCATCAGACCCAGCAACTCTCAAGTTTTTCATGTCTACT GTGATGTTATATCAGGTAGTCCATGGACATTAATTCAACATCGAATAGATGGATCACAAA ACTTCAATGAAACGTGGGAGAACTACAAATATGGTTTTGGGAGGCTTGATGGAGAATTTT GGTTGGGCCTAGAGAAGATATACTCCATAGTGAAGCAATCTAATTATGTTTTACGAATTG AGTTGGAAGACTGGAAAGACAACAAACATTATATTGAATATTCTTTTTACTTGGGAAATC ACGAAACCAACTATACGCTACATCTAGTTGCGATTACTGGCAATGTCCCCAATGCAATCC CGGAAAACAAAGATTTGGTGTTTTCTACTTGGGATCACAAAGCAAAAGGACACTTCAACT GTCCAGAGGGTTATTCAGGAGGCTGGTGGTGGCATGATGAGTGTGGAGAAAACAACCTAA ATGGTAAATATAACAAACCAAGAGCAAAATCTAAGCCAGAGAGGAGAAGAGGATTATCTT GGAAGTCTCAAAATGGAAGGTTATACTCTATAAAATCAACCAAAATGTTGATCCATCCAA CAGATTCAGAAAGCTTTGAATGAACTGAGGCAAATTTAAAAGGCAATAATTTAAACATTA ACCTCATTCCAAGTTAATGTGGTCTAATAATCTGGTATTAAATCCTTAAGAGAAAGCTTG AGAAATAGATTTTTTTTATCTTAAAGTCACTGTCTATTTAAGATTAAACATACAATCACA TAACCTTAAAGAATACCGTTTACATTTCTCAATCAAAATTCTTATAATACTATTTGTTTT AAATTTTGTGATGTGGGAATCAATTTTAGATGGTCACAATCTAGATTATAATCAATAGGT GAACTTATTAAATAACTTTTCTAAATAAAAAATTTAGAGACTTTTATTTTAAAAGGCATC ATATGAGCTAATATCACAACTTTCCCAGTTTAAAAAACTAGTACTCTTGTTAAAACTCTA AACTTGACTAAATACAGAGGACTGGTAATTGTACAGTTCTTAAATGTTGTAGTATTAATT TCAAAACTAAAAATCGTCAGCACAGAGTATGTGTAAAAATCTGTAATACAAATTTTTAAA CTGATGCTTCATTTTGCTACAAAATAATTTGGAGTAAATGTTTGATATGATTTATTTATG AAACCTAATGAAGCAGAATTAAATACTGTATTAAAATAAGTTCGCTGTCTTTAAACAAAT GGAGATGACTACTAAGTCACATTGACTTTAACATGAGGTATCACTATACCTTATTTGTTA AAATATATACTGTATACATTTTATATATTTTAACACTTAATACTATGAAAACAAATAATT GTAAAGGAATCTTGTCAGATTACAGTAAGAATGAACATATTTGTGGCATCGAGTTAAAGT TTATATTTCCCCTAAATATGCTGTGATTCTAATACATTCGTGTAGGTTTTCAAGTAGAAA TAAACCTCGTAACAAGTTACTGAACGTTTAAACAGCCTGACAAGCATGTATATATGTTTA AAATTCAATAAACAAAGACCCAGTCCCTAAATTATAGAAATTTAAATTATTCTTGCATGT TTATCGACATCACAACAGATCCCTAAATCCCTAAATCCCTAAAGATTAGATACAAATTTT TTACCACAGTATCACTTGTCAGAATTTATTTTTAAATATGATTTTTTAAAACTGCCAGTA AGAAATTTTAAATTAAACCCATTTGTTAAAGGATATAGTGCCCAAGTTATATGGTGACCT ACCTTTGTCAATACTTAGCATTATGTATTTCAAATTATCCAATATACATGTCATATATAT TTTTATATGTCACATATATAAAAGATATGTATGATCTATGTGAATCCTAAGTAAATATTT TGTTCCAGAAAAGTACAAAATAATAAAGGTAAAAATAATCTATAATTTTCAGGACCACAG ACTAAGCTGTCGAAATTAACGCTGATTTTTTTAGGGCCAGAATACCAAAATGGCTCCTCT CTTCCCCCAAAATTGGACAATTTCAAATGCAAAATAATTCATTATTTAATATATGAGTTG CTTCCTCTATT NM_139314; Homo sapiens angiopoietin like 4 (ANGPTL4), transcript variant 1, mRNA. (SEQ ID NO: 87) ATAAAAACCGTCCTCGGGCGCGGCGGGGAGAAGCCGAGCTGAGCGGATCCTCACACGACT GTGATCCGATTCTTTCCAGCGGCTTCTGCAACCAAGCGGGTCTTACCCCCGGTCCTCCGC GTCTCCAGTCCTCGCACCTGGAACCCCAACGTCCCCGAGAGTCCCCGAATCCCCGCTCCC AGGCTACCTAAGAGGATGAGCGGTGCTCCGACGGCCGGGGCAGCCCTGATGCTCTGCGCC GCCACCGCCGTGCTACTGAGCGCTCAGGGCGGACCCGTGCAGTCCAAGTCGCCGCGCTTT GCGTCCTGGGACGAGATGAATGTCCTGGCGCACGGACTCCTGCAGCTCGGCCAGGGGCTG CGCGAACACGCGGAGCGCACCCGCAGTCAGCTGAGCGCGCTGGAGCGGCGCCTGAGCGCG TGCGGGTCCGCCTGTCAGGGAACCGAGGGGTCCACCGACCTCCCGTTAGCCCCTGAGAGC CGGGTGGACCCTGAGGTCCTTCACAGCCTGCAGACACAACTCAAGGCTCAGAACAGCAGG ATCCAGCAACTCTTCCACAAGGTGGCCCAGCAGCAGCGGCACCTGGAGAAGCAGCACCTG CGAATTCAGCATCTGCAAAGCCAGTTTGGCCTCCTGGACCACAAGCACCTAGACCATGAG GTGGCCAAGCCTGCCCGAAGAAAGAGGCTGCCCGAGATGGCCCAGCCAGTTGACCCGGCT CACAATGTCAGCCGCCTGCACCGGCTGCCCAGGGATTGCCAGGAGCTGTTCCAGGTTGGG GAGAGGCAGAGTGGACTATTTGAAATCCAGCCTCAGGGGTCTCCGCCATTTTTGGTGAAC TGCAAGATGACCTCAGATGGAGGCTGGACAGTAATTCAGAGGCGCCACGATGGCTCAGTG GACTTCAACCGGCCCTGGGAAGCCTACAAGGCGGGGTTTGGGGATCCCCACGGCGAGTTC TGGCTGGGTCTGGAGAAGGTGCATAGCATCACGGGGGACCGCAACAGCCGCCTGGCCGTG CAGCTGCGGGACTGGGATGGCAACGCCGAGTTGCTGCAGTTCTCCGTGCACCTGGGTGGC GAGGACACGGCCTATAGCCTGCAGCTCACTGCACCCGTGGCCGGCCAGCTGGGCGCCACC ACCGTCCCACCCAGCGGCCTCTCCGTACCCTTCTCCACTTGGGACCAGGATCACGACCTC CGCAGGGACAAGAACTGCGCCAAGAGCCTCTCTGGAGGCTGGTGGTTTGGCACCTGCAGC CATTCCAACCTCAACGGCCAGTACTTCCGCTCCATCCCACAGCAGCGGCAGAAGCTTAAG AAGGGAATCTTCTGGAAGACCTGGCGGGGCCGCTACTACCCGCTGCAGGCCACCACCATG TTGATCCAGCCCATGGCAGCAGAGGCAGCCTCCTAGCGTCCTGGCTGGGCCTGGTCCCAG GCCCACGAAAGACGGTGACTCTTGGCTCTGCCCGAGGATGTGGCCGTTCCCTGCCTGGGC AGGGGCTCCAAGGAGGGGCCATCTGGAAACTTGTGGACAGAGAAGAAGACCACGACTGGA GAAGCCCCCTTTCTGAGTGCAGGGGGGCTGCATGCGTTGCCTCCTGAGATCGAGGCTGCA GGATATGCTCAGACTCTAGAGGCGTGGACCAAGGGGCATGGAGCTTCACTCCTTGCTGGC CAGGGAGTTGGGGACTCAGAGGGACCACTTGGGGCCAGCCAGACTGGCCTCAATGGCGGA CTCAGTCACATTGACTGACGGGGACCAGGGCTTGTGTGGGTCGAGAGCGCCCTCATGGTG CTGGTGCTGTTGTGTGTAGGTCCCCTGGGGACACAAGCAGGCGCCAATGGTATCTGGGCG GAGCTCACAGAGTTCTTGGAATAAAAGCAACCTCAGAACACTTTG NM_178127; Homo sapiens angiopoietin like 5 (ANGPTL5), mRNA. (SEQ ID NO: 88) GATGAGAGGAACTAGAAGCAGCTATTGCAAGCTACCATTTTGAGAACCTGCCCAAAGAAA GAAAAGACTGAAGGGATGGAAGATTGCAGAAAGCATGATCGGAGAAGAGATATTTTACTT TTAGTGAAGCTCTATACACATTTGTCTTCCTCACTAGATTTGTATCCCTAGAACCTAGAA CAGAGTCAGCCAAAGAGCAGGCACTCAATACAAATTGTTGACTTGCTGCTAAAATTGTAA CAGAGTACAAAGAACATCCTAGAAATTGGAGACAAAGGGGATAAGAAAACAGAGTTAACT TGGAAAGAGAAGACACTCATCTCTGACAAGACTGAAGATGATTACACAACACCATCATTG CCAACCAAGTCCTTTGGGAATACAAAGGTTAAATCCTAATCATCACAACAGTCTCTAAAG GAATAAACCTGATTTACAGATTTTGATAACAAAATACTTCTCCTCTTTCCATTTTCTACA ATGCAACCAACAGCAACATCAAAGAGGTTTTTAACTGAAGACTCTATGCTCTGTAGTTCT TTCCACAAAGAGCTGACTGATATTTGAAGAAGTGTTTTCATCTATCCAAGAAAAATATGA TGTCTCCATCCCAAGCCTCACTCTTATTCTTAAATGTATGTATTTTTATTTGTGGAGAAG CTGTACAAGGTAACTGTGTACATCATTCTACGGACTCTTCAGTAGTTAACATTGTAGAAG ATGGATCTAATGCAAAAGATGAAAGTAAAAGTAATGATACTGTTTGTAAGGAAGACTGTG AGGAATCATGTGATGTTAAAACTAAAATTACACGAGAAGAAAAACATTTCATGTGTAGAA ATTTGCAAAATTCTATTGTTTCCTACACAAGAAGTACCAAAAAACTACTAAGGAATATGA TGGATGAGCAACAAGCTTCCTTGGATTATTTATCTAATCAGGTTAACGAGCTCATGAATA GAGTTCTCCTTTTGACTACAGAAGTTTTTAGAAAACAGCTGGATCCTTTTCCTCACAGAC CTGTTCAGTCACATGGTTTAGATTGCACTGATATTAAGGATACCATTGGCTCTGTCACCA AAACACCGAGTGGTTTATACATAATTCACCCAGAAGGATCTAGCTACCCATTTGAGGTAA TGTGTGACATGGATTACAGAGGAGGTGGACGGACTGTGATACAGAAAAGAATTGATGGGA TAATTGATTTCCAGAGGTTGTGGTGTGATTATCTGGATGGATTTGGAGATCTTCTAGGAG AATTTTGGCTAGGACTGAAAAAGATTTTTTATATAGTAAATCAGAAAAATACCAGTTTTA TGCTGTATGTGGCTTTGGAATCTGAAGATGACACTCTTGCTTATGCATCATATGATAATT TTTGGCTAGAGGATGAAACGAGATTTTTTAAAATGCACTTAGGACGGTATTCAGGAAATG CTGGTGATGCATTCCGGGGTCTCAAAAAAGAAGATAATCAAAATGCAATGCCTTTTAGCA CATCAGATGTTGATAATGATGGGTGTCGCCCTGCATGCCTGGTCAATGGTCAGTCTGTGA AGAGCTGCAGTCACCTCCATAACAAGACCGGCTGGTGGTTTAACGAGTGTGGTCTAGCAA ATCTAAATGGCATTCATCACTTCTCTGGAAAATTGCTTGCAACTGGAATTCAATGGGGCA CGTGGACCAAAAACAACTCACCTGTCAAGATTAAATCTGTTTCAATGAAAATTAGAAGAA TGTACAATCCATATTTTAAATAATCTCATTTAACATTGTAATGCAAGTTCTACAATGATA ATATATTAAAGATTTTTAAAAGTTTATCTTTTCACTTAGTGTTTCAAACATATTAGGCAA AATTTAACTGTAGATGGCATTTAGATGTTATGAGTTTAATTAGAAAACTTCAATTTTGTA GTATTCTATAAAAGAAAACATGGCTTATTGTATGTTTTTACTTCTGACTATATTAACAAT ATACAATGAAATTTGTTTCAAGTGAACTACAACTTGTCTTCCTAAAATTTATAGTGATTT TAAAGGATTTTGCCTTTTCTTTGAAGCATTTTTAAACCATAATATGTTGTAAGGAAAATT GAAGGGAATATTTTACTTATTTTTATACTTTATATGATTATATAATCTACAGATAATTTC TACTGAAGACAGTTACAATAAATAACTTTATGCAGATTAATATATAAGCTACACATGATG TAAAAACCTTACTATTTCTAGGTGATGCCATACCATTTTAAAAGTAGTAAGAGTTTGCTG CCCAAATAGTTTTTCTTGTTTTCATATCTAATCATGGTTAACTATTTTGTTATTGTTTGT AATAAATATATGTACTTTTATATCCTGAAAAAAAAAAAAAAAA NM_031917; Homo sapiens angiopoietin like 6 (ANGPTL6), transcript variant 1, mRNA. (SEQ ID NO: 89) GCATCCCAGCTCCACTCCCAGGCTCTGGGGGCTGGGGAGTGGTTACCAAGCCTCCTCTCT CCTTCTGTCCCACTGCCCTCTCCCCGTCTCTAGCTCAGAGGCCCCACTGGACCCTCGGCT CTTCCTTGGACTTCTTGTGTGTTCTGTGAGCTTCGCTGGATTCAGGGTCTTGGGCATCAG AGGTCCGCCGCGATGGGGAAGCCCTGGCTGCGTGCGCTACAGCTGCTGCTCCTGCTGGGC GCGTCGTGGGCGCGGGCGGGCGCCCCGCGCTGCACCTACACCTTCGTGCTGCCCCCGCAG AAGTTCACGGGCGCTGTGTGCTGGAGCGGCCCCGCATCCACGCGGGCGACGCCCGAGGCC GCCAACGCCAGCGAGCTGGCGGCGCTGCGCATGCGCGTCGGCCGCCACGAGGAGCTGTTA CGCGAGCTGCAGAGGCTGGCGGCGGCCGACGGCGCCGTGGCCGGCGAGGTGCGCGCGCTG CGCAAGGAGAGCCGCGGCCTGAGCGCGCGCCTGGGCCAGTTGCGCGCGCAGCTGCAGCAC GAGGCGGGGCCCGGGGCGGGCCCGGGGGCGGATCTGGGGGCGGAGCCTGCCGCGGCGCTG GCGCTGCTCGGGGAGCGCGTGCTCAACGCGTCCGCCGAGGCTCAGCGCGCAGCCGCCCGG TTCCACCAGCTGGACGTCAAGTTCCGCGAGCTGGCGCAGCTCGTCACCCAGCAGAGCAGT CTCATCGCCCGCCTGGAGCGCCTGTGCCCGGGAGGCGCGGGCGGGCAGCAGCAGGTCCTG CCGCCACCCCCACTGGTGCCTGTGGTTCCGGTCCGTCTTGTGGGTAGCACCAGTGACACC AGTAGGATGCTGGACCCAGCCCCAGAGCCCCAGAGAGACCAGACCCAGAGACAGCAGGAG CCCATGGCTTCTCCCATGCCTGCAGGTCACCCTGCGGTCCCCACCAAGCCTGTGGGCCCG TGGCAGGATTGTGCAGAGGCCCGCCAGGCAGGCCATGAACAGAGTGGAGTGTATGAACTG CGAGTGGGCCGTCACGTAGTGTCAGTATGGTGTGAGCAGCAACTGGAGGGTGGAGGCTGG ACTGTGATCCAGCGGAGGCAAGATGGTTCAGTCAACTTCTTCACTACCTGGCAGCACTAT AAGGCGGGCTTTGGGCGGCCAGACGGAGAATACTGGCTGGGCCTTGAACCCGTGTATCAG CTGACCAGCCGTGGGGACCATGAGCTGCTGGTTCTCCTGGAGGACTGGGGGGGCCGTGGA GCACGTGCCCACTATGATGGCTTCTCCCTGGAACCCGAGAGCGACCACTACCGCCTGCGG CTTGGCCAGTACCATGGTGATGCTGGAGACTCTCTTTCCTGGCACAATGACAAGCCCTTC AGCACCGTGGATAGGGACCGAGACTCCTATTCTGGTAACTGTGCCCTGTACCAGCGGGGA GGCTGGTGGTACCATGCCTGTGCCCACTCCAACCTCAACGGTGTGTGGCACCACGGCGGC CACTACCGAAGCCGCTACCAGGATGGTGTCTACTGGGCTGAGTTTCGTGGTGGGGCATAT TCTCTCAGGAAGGCCGCCATGCTCATTCGGCCCCTGAAGCTGTGACTCTGTGTTCCTCTG TCCCCTAGGCCCTAGAGGACATTGGTCAGCAGGAGCCCAAGTTGTTCTGGCCACACCTTC TTTGTGGCTCAGTGCCAATGTGTCCCACAGAACTTCCCACTGTGGATCTGTGACCCTGGG CGCTGAAAATGGGACCCAGGAATCCCCCCCGTCAATATCTTGGCCTCAGATGGCTCCCCA AGGTCATTCATATCTCGGTTTGAGCTCATATCTTATAATAACACAAAGTAGCCACAG NM_021146; Homo sapiens angiopoietin like 7 (ANGPTL7), mRNA. (SEQ ID NO: 90) CAGCCATGGTAGGGGTGGAGGTACAGGCAGCAAACAATATTTAAGATGCTGACTTGTGGA GCATTCGGGCTTGGAAGGAAAGCTATAGGCTACCCATTCAGCTCCCCTGTCAGAGACTCA AGCTTTGAGAAAGGCTAGCAAAGAGCAAGGAAAGAGAGAAAACAACAAAGTGGCGAGGCC CTCAGAGTGAAAGCGTAAGGTTCAGTCAGCCTGCTGCAGCTTTGCAGACCTCAGCTGGGC ATCTCCAGACTCCCCTGAAGGAAGAGCCTTCCTCACCCAAACCCACAAAAGATGCTGAAA AAGCCTCTCTCAGCTGTGACCTGGCTCTGCATTTTCATCGTGGCCTTTGTCAGCCACCCA GCGTGGCTGCAGAAGCTCTCTAAGCACAAGACACCAGCACAGCCACAGCTCAAAGCGGCC AACTGCTGTGAGGAGGTGAAGGAGCTCAAGGCCCAAGTTGCCAACCTTAGCAGCCTGCTG AGTGAACTGAACAAGAAGCAGGAGAGGGACTGGGTCAGCGTGGTCATGCAGGTGATGGAG CTGGAGAGCAACAGCAAGCGCATGGAGTCGCGGCTCACAGATGCTGAGAGCAAGTACTCC GAGATGAACAACCAAATTGACATCATGCAGCTGCAGGCAGCACAGACGGTCACTCAGACC TCCGCAGATGCCATCTACGACTGCTCTTCCCTCTACCAGAAGAACTACCGCATCTCTGGA GTGTATAAGCTTCCTCCTGATGACTTCCTGGGCAGCCCTGAACTGGAGGTGTTCTGTGAC ATGGAGACTTCAGGCGGAGGCTGGACCATCATCCAGAGACGAAAAAGTGGCCTTGTCTCC TTCTACCGGGACTGGAAGCAGTACAAGCAGGGCTTTGGCAGCATCCGTGGGGACTTCTGG CTGGGGAACGAACACATCCACCGGCTCTCCAGACAGCCAACCCGGCTGCGTGTAGAGATG GAGGACTGGGAGGGCAACCTGCGCTACGCTGAGTATAGCCACTTTGTTTTGGGCAATGAA CTCAACAGCTATCGCCTCTTCCTGGGGAACTACACTGGCAATGTGGGGAACGACGCCCTC CAGTATCATAACAACACAGCCTTCAGCACCAAGGACAAGGACAATGACAACTGCTTGGAC AAGTGTGCACAGCTCCGCAAAGGTGGCTACTGGTACAACTGCTGCACAGACTCCAACCTC AATGGAGTGTACTACCGCCTGGGTGAGCACAATAAGCACCTGGATGGCATCACCTGGTAT GGCTGGCATGGATCTACCTACTCCCTCAAACGGGTGGAGATGAAAATCCGCCCAGAAGAC TTCAAGCCTTAAAAGGAGGCTGCCGTGGAGCACGGATACAGAAACTGAGACACGTGGAGA CTGGATGAGGGCAGATGAGGACAGGAAGAGAGTGTTAGAAAGGGTAGGACTGAGAAACAG CCTATAATCTCCAAAGAAAGAATAAGTCTCCAAGGAGCACAAAAAAATCATATGTACCAA GGATGTTACAGTAAACAGGATGAACTATTTAAACCCACTGGGTCCTGCCACATCCTTCTC AAGGTGGTAGACTGAGTGGGGTCTCTCTGCCCAAGATCCCTGACATAGCAGTAGCTTGTC TTTTCCACATGATTTGTCTGTGAAAGAAAATAATTTTGAGATCGTTTTATCTATTTTCTC TACGGCTTAGGCTATGTGAGGGCAAAACACAAATCCCTTTGCTAAAAAGAACCATATTAT TTTGATTCTCAAAGGATAGGCCTTTGAGTGTTAGAGAAAGGAGTGAAGGAGGCAGGTGGG AAATGGTATTTCTATTTTTAAATCCAGTGAAATTATCTTGAGTCTACACATTATTTTTAA AACACAAAAATTGTTCGGCTGGAACTGACCCAGGCTGGACTTGCGGGGAGGAAACTCCAG GGCACTGCATCTGGCGATCAGACTCTGAGCACTGCCCCTGCTCGCCTTGGTCATGTACAG CACTGAAAGGAATGAAGCACCAGCAGGAGGTGGACAGAGTCTCTCATGGATGCCGGCACA AAACTGCCTTAAAATATTCATAGTTAATACAGGTATATCTATTTTTATTTACTTTGTAAG AAACAAGCTCAAGGAGCTTCCTTTTAAATTTTGTCTGTAGGAAATGGTTGAAAACTGAAG GTAGATGGTGTTATAGTTAATAATAAATGCTGTAAATAAGCATCTCACTTTGTAAAAATA AAATATTGTGGTTTTGTTTTAAACATTCAACGTTTCTTTTCCTTCTACAATAAACACTTT CAAAATGTGAAAAAAAAAAAAAAAAAA NM_018687; Homo sapiens angiopoietin like 8 (ANGPTL8), mRNA. (SEQ ID NO: 91) ATACCTTAGACCCTCAGTCATGCCAGTGCCTGCTCTGTGCCTGCTCTGGGCCCTGGCAAT GGTGACCCGGCCTGCCTCAGCGGCCCCCATGGGCGGCCCAGAACTGGCACAGCATGAGGA GCTGACCCTGCTCTTCCATGGGACCCTGCAGCTGGGCCAGGCCCTCAACGGTGTGTACAG GACCACGGAGGGACGGCTGACAAAGGCCAGGAACAGCCTGGGTCTCTATGGCCGCACAAT AGAACTCCTGGGGCAGGAGGTCAGCCGGGGCCGGGATGCAGCCCAGGAACTTCGGGCAAG CCTGTTGGAGACTCAGATGGAGGAGGATATTCTGCAGCTGCAGGCAGAGGCCACAGCTGA GGTGCTGGGGGAGGTGGCCCAGGCACAGAAGGTGCTACGGGACAGCGTGCAGCGGCTAGA AGTCCAGCTGAGGAGCGCCTGGCTGGGCCCTGCCTACCGAGAATTTGAGGTCTTAAAGGC TCACGCTGACAAGCAGAGCCACATCCTATGGGCCCTCACAGGCCACGTGCAGCGGCAGAG GCGGGAGATGGTGGCACAGCAGCATCGGCTGCGACAGATCCAGGAGAGACTCCACACAGC GGCGCTCCCAGCCTGAATCTGCCTGGATGGAACTGAGGACCAATCATGCTGCAAGGAACA CTTCCACGCCCCGTGAGGCCCCTGTGCAGGGAGGAGCTGCCTGTTCACTGGGATCAGCCA GGGCGCCGGGCCCCACTTCTGAGCACAGAGCAGAGACAGACGCAGGCGGGGACAAAGGCA GAGGATGTAGCCCCATTGGGGAGGGGTGGAGGAAGGACATGTACCCTTTCATGCCTACAC ACCCCTCATTAAGCAGAGTCGTGGCATCTCAAAAAAAAAAAAAAAAAA

To determine the role of angiopoietins in Th17 cells, cytokine production was measured. Naïve T cells were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with plate-bound anti-CD3/CD28 in the presence indicated concentration of Angiopoeitins. Cytokine production from Th17 cells were measured by FACS on day 4. The data showed that Angiopoietins (Angpts) affect IL17 production from pathogenic Th17 cells (FIG. 41). Next, naïve T cells from the spleen of WT and Gp49b KO mice were differentiated into pathogenic or non-pathogenic Th17 cells in vitro with plate-bound anti-CD3/CD28 in the presence of Angiopoeitins (10 ug/ml). Cytokine production from Th17 cells were measured by FACS on day 4. RNA was extracted on day 4 and subjected to Nanostring analysis with a codeset of Th17 cell signature genes. The data showed that the effects of angiopoietins on Th17 cells are independent of Gp49b (FIG. 42 and FIG. 43). To determine the binding of Angpts to Th17 cells in PBS, in vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged angiopoetins (10 ug/ml) in PBS buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS. The data showed that binding of Angpts to Th17 cells is independent of Gp49 (FIG. 44 and FIG. 45). These experiments were repeated in HBSS to determine the effect of Ca2+ and Mg2+ in the buffer. The same results as the PBS studies were observed, demonstrating that binding of Angpts to Th17 cells is independent of Gp49 (FIG. 45-FIG. 47).

Role of CD166.

Applicants identified CD166 as another novel ligand of ILT-3. CD166 is a transmembrane glycoprotein (type I) that is a member of the immunoglobulin superfamily of proteins. CD166 is encoded by the activated leukocyte cell adhesion molecule (ALCAM) gene. Nonlimiting examples of CD166 mRNA sequences are provided below:

NM_001627; Homo sapiens activated leukocyte cell adhesion molecule (ALCAM), transcript variant 1, mRNA. (SEQ ID NO: 76) GCACGCGGTTCTCCCTGATCCCGGAGCTGGGCTCAGGGCTCGGACTCAGTCCTGCAGCGC CTCTAGGCTGCGGATCCGCGCTTCAACCACCTGCTTTGCGCTGCGTCCGGGGAAGTGGGG AGGAGACGGGAGGGAGGGAGGAGGCGGGGAGAGGAGGAAAGAGGCAGCTTACACACGCCT TCCAGTCCCTCTACTCAGAGCAGCCCGGAGACCGCTGCCGCCGCTGCCGCTGCTACCACC GCTGCCACCTGAGGAGACCCGCCGCCCCCCCGTCGCCGCCTCCTGCGAGTCCTTCTTAGC ACCTGGCGTTTCATGCACATTGCCACTGCCATTATTATTATCATTCCAATACAAGGAAAA TAAAAGAAGATACCAGCGAAAAGAACCGCTTACACCTTTCCGAATTACTCAAGTGTCTCC TGGAAACAGAGGGTCGTTGTCCCCGGAGGAGCAGCCGAAGGGCCCGTGGGCTGGTGTTGA CCGGGAGGGAGGAGGAGTTGGGGGCATTGCGTGGTGGAAAGTTGCGTGCGGCAGAGAACC GAAGGTGCAGCGCCACAGCCCAGGGGACGGTGTGTCTGGGAGAAGACGCTGCCCCTGCGT CGGGACCCGCCAGCGCGCGGGCACCGCGGGGCCCGGGACGACGCCCCCTCCTGCGGCGTG GACTCCGTCAGTGGCCCACCAAGAAGGAGGAGGAATATGGAATCCAAGGGGGCCAGTTCC TGCCGTCTGCTCTTCTGCCTCTTGATCTCCGCCACCGTCTTCAGGCCAGGCCTTGGATGG TATACTGTAAATTCAGCATATGGAGATACCATTATCATACCTTGCCGACTTGACGTACCT CAGAATCTCATGTTTGGCAAATGGAAATATGAAAAGCCCGATGGCTCCCCAGTATTTATT GCCTTCAGATCCTCTACAAAGAAAAGTGTGCAGTACGACGATGTACCAGAATACAAAGAC AGATTGAACCTCTCAGAAAACTACACTTTGTCTATCAGTAATGCAAGGATCAGTGATGAA AAGAGATTTGTGTGCATGCTAGTAACTGAGGACAACGTGTTTGAGGCACCTACAATAGTC AAGGTGTTCAAGCAACCATCTAAACCTGAAATTGTAAGCAAAGCACTGTTTCTCGAAACA GAGCAGCTAAAAAAGTTGGGTGACTGCATTTCAGAAGACAGTTATCCAGATGGCAATATC ACATGGTACAGGAATGGAAAAGTGCTACATCCCCTTGAAGGAGCGGTGGTCATAATTTTT AAAAAGGAAATGGACCCAGTGACTCAGCTCTATACCATGACTTCCACCCTGGAGTACAAG ACAACCAAGGCTGACATACAAATGCCATTCACCTGCTCGGTGACATATTATGGACCATCT GGCCAGAAAACAATTCATTCTGAACAGGCAGTATTTGATATTTACTATCCTACAGAGCAG GTGACAATACAAGTGCTGCCACCAAAAAATGCCATCAAAGAAGGGGATAACATCACTCTT AAATGCTTAGGGAATGGCAACCCTCCCCCAGAGGAATTTTTGTTTTACTTACCAGGACAG CCCGAAGGAATAAGAAGCTCAAATACTTACACACTGACGGATGTGAGGCGCAATGCAACA GGAGACTACAAGTGTTCCCTGATAGACAAAAAAAGCATGATTGCTTCAACAGCCATCACA GTTCACTATTTGGATTTGTCCTTAAACCCAAGTGGAGAAGTGACTAGACAGATTGGTGAT GCCCTACCCGTGTCATGCACAATATCTGCTAGCAGGAATGCAACTGTGGTATGGATGAAA GATAACATCAGGCTTCGATCTAGCCCGTCATTTTCTAGTCTTCATTATCAGGATGCTGGA AACTATGTCTGCGAAACTGCTCTGCAGGAGGTTGAAGGACTAAAGAAAAGAGAGTCATTG ACTCTCATTGTAGAAGGCAAACCTCAAATAAAAATGACAAAGAAAACTGATCCCAGTGGA CTATCTAAAACAATAATCTGCCATGTGGAAGGTTTTCCAAAGCCAGCCATTCAATGGACA ATTACTGGCAGTGGAAGCGTCATAAACCAAACAGAGGAATCTCCTTATATTAATGGCAGG TATTATAGTAAAATTATCATTTCCCCTGAAGAGAATGTTACATTAACTTGCACAGCAGAA AACCAACTGGAGAGAACAGTAAACTCCTTGAATGTCTCTGCTATAAGTATTCCAGAACAC GATGAGGCAGACGAGATAAGTGATGAAAACAGAGAAAAGGTGAATGACCAGGCAAAACTA ATTGTGGGAATCGTTGTTGGTCTCCTCCTTGCTGCCCTTGTTGCTGGTGTCGTCTACTGG CTGTACATGAAGAAGTCAAAGACTGCATCAAAACATGTAAACAAGGACCTCGGTAATATG GAAGAAAACAAAAAGTTAGAAGAAAACAATCACAAAACTGAAGCCTAAGAGAGAAACTGT CCTAGTTGTCCAGAGATAAAAATCATATAGACCAATTGAAGCATGAACGTGGATTGTATT TAAGACATAAACAAAGACATTGACAGCAATTCATGGTTCAAGTATTAAGCAGTTCATTCT ACCAAGCTGTCACAGGTTTTCAGAGAATTATCTCAAGTAAAACAAATGAAATTTAATTAC AAACAATAAGAACAAGTTTTGGCAGCCATGATAATAGGTCATATGTTGTGTTTGGTTCAA TTTTTTTTCCGTAAATGTCTGCACTGAGGATTTCTTTTTGGTTTGCCTTTTATGTAAATT TTTTACGTAGCTATTTTTATACACTGTAAGCTTTGTTCTGGGAGTTGCTGTTAATCTGAT GTATAATGTAATGTTTTTATTTCAATTGTTTATATGGATAATCTGAGCAGGTACATTTCT GATTCTGATTGCTATCAGCAATGCCCCAAACTTTCTCATAAGCACCTAAAACCCAAAGGT GGCAGCTTGTGAAGATTGGGGACACTCATATTGCCCTAATTAAAAACTGTGATTTTTATC ACAAGGGAGGGGAGGCCGAGAGTCAGACTGATAGACACCATAGGAGCCGACTCTTTGATA TGCCACCAGCGAACTCTCAGAAATAAATCACAGATGCATATAGACACACATACATAATGG TACTCCCAAACTGACAATTTTACCTATTCTGAAAAAGACATAAAACAGAATTTGGTAGCA CTTACCTCTACAGACACCTGCTAATAAATTATTTTCTGTCAAAAGAAAAAACACAAGCAT GTGTGAGAGACAGTTTGGAAAAATCATGGTCAACATTCCCATTTTCATAGATCACAATGT AAATCACTATAATTACAAATTGGTGTTAAATCCTTTGGGTTATCCACTGCCTTAAAATTA TACCTATTTCATGTTTAAAAAGATATCAATCAGAATTGGAGTTTTTAACAGTGGTCATTA TCAAAGCTGTGTTATTTTCCACAGAATATAGAATATATATTTTTTTCGTGTGTGTTTTTG TTAACTACCCTACAGATATTGAATGCACCTTGAGATAATTTAGTGTTTTTAACTGATACA TAATTTATCAAGCAGTACATGAAAGTGTAATAATAAAATGTCTATGTATCTTTAGTTACA TTCAAATTTGTAACTTTATAAACATGTTTTATGCTTGAGGAAATTTTTAAGGTGGTAGTA TAAATGGAAACTTTTTGAAGTAGACCAGATATGGGCTACTTGTGACTAGACTTTTAAACT TTGCTCTTTCAAGCAGAAGCCTGGTTTCTGGGAGAACACTGCACAGCGATTTCTTTCCCA GGATTTACACAACTTTAAAGGGAAGATAAATGAACATCAGATTTCTAGGTATAGAACTAT GTTATTGAAAGGAAAAGGAAAACTGGTGTTTGTTTCTTAGACTCATGAAATAAAAAATTA TGAAGGCAATGAAAAATAAATTGAAAATTAAAGTCAGATGAGAATAGGAATAATACTTTG CCACTTCTGCATTATTTAGAAACATACGTTATTGTACATTTGTAAACCATTTACTGTCTG GGCAATAGTGACTCCGTTTAATAAAAGCTTCCGTAGTGCATTGGTATGGATTAAATGCAT AAAATATTCTTAGACTCGATGCTGTATAAAATATTATGGGAAAAAAAGAAAATACGTTAT TTTGCCTCTAAACTTTTATTGAAGTTTTATTTGGCAGGAAAAAAAATTGAATCTTGGTCA ACATTTAAACCAAAGTAAAAGGGGAAAAACCAAAGTTATTTGTTTTGCATGGCTAAGCCA TTCTGTTATCTCTGTAAATACTGTGATTTCTTTTTTATTTTCTCTTTAGAATTTTGTTAA AGAAATTCTAAAATTTTTAAACACCTGCTCTCCACAATAAATCACAAACACTAAAATAAA ATTACTTCCATATAAATATTATTTTCTCTTTTGGTGTGGGAGATCAAAGGTTTAAAGTCT AACTTCTAAGATATATTTGCAGAAAGAAGCAACATGACAATAGAGAGAGTTATGCTACAA TTATTTCTTGGTTTCCACTTGCAATGGTTAATTAAGTCCAAAAACAGCTGTCAGAACCTC GAGAGCAGAACATGAGAAACTCAGAGCTCTGGACCGAAAGCAGAAAGTTTGCCGGGAAAA AAAAAGACAACATTATTACCATCGATTCAGTGCCTGGATAAAGAGGAAAGCTTACTTGTT TAATGGCAGCCACATGCACGAAGATGCTAAGAAGAAAAAGAATTCCAAATCCTCAACTTT TGAGGTTTCGGCTCTCCAATTTAACTCTTTGGCAACAGGAAACAGGTTTTGCAAGTTCAA GGTTCACTCCCTATATGTGATTATAGGAATTGTTTGTGGAAATGGATTAACATACCCGTC TATGCCTAAAAGATAATAAAACTGAAATATGTCTTCACAGGTCTCCCACAAAAAAAAAAA AAA NM_001243280; Homo sapiens activated leukocyte cell adhesion molecule (ALCAM), transcript variant 2, mRNA. (SEQ ID NO: 77) GCACGCGGTTCTCCCTGATCCCGGAGCTGGGCTCAGGGCTCGGACTCAGTCCTGCAGCGC CTCTAGGCTGCGGATCCGCGCTTCAACCACCTGCTTTGCGCTGCGTCCGGGGAAGTGGGG AGGAGACGGGAGGGAGGGAGGAGGCGGGGAGAGGAGGAAAGAGGCAGCTTACACACGCCT TCCAGTCCCTCTACTCAGAGCAGCCCGGAGACCGCTGCCGCCGCTGCCGCTGCTACCACC GCTGCCACCTGAGGAGACCCGCCGCCCCCCCGTCGCCGCCTCCTGCGAGTCCTTCTTAGC ACCTGGCGTTTCATGCACATTGCCACTGCCATTATTATTATCATTCCAATACAAGGAAAA TAAAAGAAGATACCAGCGAAAAGAACCGCTTACACCTTTCCGAATTACTCAAGTGTCTCC TGGAAACAGAGGGTCGTTGTCCCCGGAGGAGCAGCCGAAGGGCCCGTGGGCTGGTGTTGA CCGGGAGGGAGGAGGAGTTGGGGGCATTGCGTGGTGGAAAGTTGCGTGCGGCAGAGAACC GAAGGTGCAGCGCCACAGCCCAGGGGACGGTGTGTCTGGGAGAAGACGCTGCCCCTGCGT CGGGACCCGCCAGCGCGCGGGCACCGCGGGGCCCGGGACGACGCCCCCTCCTGCGGCGTG GACTCCGTCAGTGGCCCACCAAGAAGGAGGAGGAATATGGAATCCAAGGGGGCCAGTTCC TGCCGTCTGCTCTTCTGCCTCTTGATCTCCGCCACCGTCTTCAGGCCAGGCCTTGGATGG TATACTGTAAATTCAGCATATGGAGATACCATTATCATACCTTGCCGACTTGACGTACCT CAGAATCTCATGTTTGGCAAATGGAAATATGAAAAGCCCGATGGCTCCCCAGTATTTATT GCCTTCAGATCCTCTACAAAGAAAAGTGTGCAGTACGACGATGTACCAGAATACAAAGAC AGATTGAACCTCTCAGAAAACTACACTTTGTCTATCAGTAATGCAAGGATCAGTGATGAA AAGAGATTTGTGTGCATGCTAGTAACTGAGGACAACGTGTTTGAGGCACCTACAATAGTC AAGGTGTTCAAGCAACCATCTAAACCTGAAATTGTAAGCAAAGCACTGTTTCTCGAAACA GAGCAGCTAAAAAAGTTGGGTGACTGCATTTCAGAAGACAGTTATCCAGATGGCAATATC ACATGGTACAGGAATGGAAAAGTGCTACATCCCCTTGAAGGAGCGGTGGTCATAATTTTT AAAAAGGAAATGGACCCAGTGACTCAGCTCTATACCATGACTTCCACCCTGGAGTACAAG ACAACCAAGGCTGACATACAAATGCCATTCACCTGCTCGGTGACATATTATGGACCATCT GGCCAGAAAACAATTCATTCTGAACAGGCAGTATTTGATATTTACTATCCTACAGAGCAG GTGACAATACAAGTGCTGCCACCAAAAAATGCCATCAAAGAAGGGGATAACATCACTCTT AAATGCTTAGGGAATGGCAACCCTCCCCCAGAGGAATTTTTGTTTTACTTACCAGGACAG CCCGAAGGAATAAGAAGCTCAAATACTTACACACTGACGGATGTGAGGCGCAATGCAACA GGAGACTACAAGTGTTCCCTGATAGACAAAAAAAGCATGATTGCTTCAACAGCCATCACA GTTCACTATTTGGATTTGTCCTTAAACCCAAGTGGAGAAGTGACTAGACAGATTGGTGAT GCCCTACCCGTGTCATGCACAATATCTGCTAGCAGGAATGCAACTGTGGTATGGATGAAA GATAACATCAGGCTTCGATCTAGCCCGTCATTTTCTAGTCTTCATTATCAGGATGCTGGA AACTATGTCTGCGAAACTGCTCTGCAGGAGGTTGAAGGACTAAAGAAAAGAGAGTCATTG ACTCTCATTGTAGAAGGCAAACCTCAAATAAAAATGACAAAGAAAACTGATCCCAGTGGA CTATCTAAAACAATAATCTGCCATGTGGAAGGTTTTCCAAAGCCAGCCATTCAATGGACA ATTACTGGCAGTGGAAGCGTCATAAACCAAACAGAGGAATCTCCTTATATTAATGGCAGG TATTATAGTAAAATTATCATTTCCCCTGAAGAGAATGTTACATTAACTTGCACAGCAGAA AACCAACTGGAGAGAACAGTAAACTCCTTGAATGTCTCTGCTAATGAAAACAGAGAAAAG GTGAATGACCAGGCAAAACTAATTGTGGGAATCGTTGTTGGTCTCCTCCTTGCTGCCCTT GTTGCTGGTGTCGTCTACTGGCTGTACATGAAGAAGTCAAAGACTGCATCAAAACATGTA AACAAGGACCTCGGTAATATGGAAGAAAACAAAAAGTTAGAAGAAAACAATCACAAAACT GAAGCCTAAGAGAGAAACTGTCCTAGTTGTCCAGAGATAAAAATCATATAGACCAATTGA AGCATGAACGTGGATTGTATTTAAGACATAAACAAAGACATTGACAGCAATTCATGGTTC AAGTATTAAGCAGTTCATTCTACCAAGCTGTCACAGGTTTTCAGAGAATTATCTCAAGTA AAACAAATGAAATTTAATTACAAACAATAAGAACAAGTTTTGGCAGCCATGATAATAGGT CATATGTTGTGTTTGGTTCAATTTTTTTTCCGTAAATGTCTGCACTGAGGATTTCTTTTT GGTTTGCCTTTTATGTAAATTTTTTACGTAGCTATTTTTATACACTGTAAGCTTTGTTCT GGGAGTTGCTGTTAATCTGATGTATAATGTAATGTTTTTATTTCAATTGTTTATATGGAT AATCTGAGCAGGTACATTTCTGATTCTGATTGCTATCAGCAATGCCCCAAACTTTCTCAT AAGCACCTAAAACCCAAAGGTGGCAGCTTGTGAAGATTGGGGACACTCATATTGCCCTAA TTAAAAACTGTGATTTTTATCACAAGGGAGGGGAGGCCGAGAGTCAGACTGATAGACACC ATAGGAGCCGACTCTTTGATATGCCACCAGCGAACTCTCAGAAATAAATCACAGATGCAT ATAGACACACATACATAATGGTACTCCCAAACTGACAATTTTACCTATTCTGAAAAAGAC ATAAAACAGAATTTGGTAGCACTTACCTCTACAGACACCTGCTAATAAATTATTTTCTGT CAAAAGAAAAAACACAAGCATGTGTGAGAGACAGTTTGGAAAAATCATGGTCAACATTCC CATTTTCATAGATCACAATGTAAATCACTATAATTACAAATTGGTGTTAAATCCTTTGGG TTATCCACTGCCTTAAAATTATACCTATTTCATGTTTAAAAAGATATCAATCAGAATTGG AGTTTTTAACAGTGGTCATTATCAAAGCTGTGTTATTTTCCACAGAATATAGAATATATA TTTTTTTCGTGTGTGTTTTTGTTAACTACCCTACAGATATTGAATGCACCTTGAGATAAT TTAGTGTTTTTAACTGATACATAATTTATCAAGCAGTACATGAAAGTGTAATAATAAAAT GTCTATGTATCTTTAGTTACATTCAAATTTGTAACTTTATAAACATGTTTTATGCTTGAG GAAATTTTTAAGGTGGTAGTATAAATGGAAACTTTTTGAAGTAGACCAGATATGGGCTAC TTGTGACTAGACTTTTAAACTTTGCTCTTTCAAGCAGAAGCCTGGTTTCTGGGAGAACAC TGCACAGCGATTTCTTTCCCAGGATTTACACAACTTTAAAGGGAAGATAAATGAACATCA GATTTCTAGGTATAGAACTATGTTATTGAAAGGAAAAGGAAAACTGGTGTTTGTTTCTTA GACTCATGAAATAAAAAATTATGAAGGCAATGAAAAATAAATTGAAAATTAAAGTCAGAT GAGAATAGGAATAATACTTTGCCACTTCTGCATTATTTAGAAACATACGTTATTGTACAT TTGTAAACCATTTACTGTCTGGGCAATAGTGACTCCGTTTAATAAAAGCTTCCGTAGTGC ATTGGTATGGATTAAATGCATAAAATATTCTTAGACTCGATGCTGTATAAAATATTATGG GAAAAAAAGAAAATACGTTATTTTGCCTCTAAACTTTTATTGAAGTTTTATTTGGCAGGA AAAAAAATTGAATCTTGGTCAACATTTAAACCAAAGTAAAAGGGGAAAAACCAAAGTTAT TTGTTTTGCATGGCTAAGCCATTCTGTTATCTCTGTAAATACTGTGATTTCTTTTTTATT TTCTCTTTAGAATTTTGTTAAAGAAATTCTAAAATTTTTAAACACCTGCTCTCCACAATA AATCACAAACACTAAAATAAAATTACTTCCATATAAATATTATTTTCTCTTTTGGTGTGG GAGATCAAAGGTTTAAAGTCTAACTTCTAAGATATATTTGCAGAAAGAAGCAACATGACA ATAGAGAGAGTTATGCTACAATTATTTCTTGGTTTCCACTTGCAATGGTTAATTAAGTCC AAAAACAGCTGTCAGAACCTCGAGAGCAGAACATGAGAAACTCAGAGCTCTGGACCGAAA GCAGAAAGTTTGCCGGGAAAAAAAAAGACAACATTATTACCATCGATTCAGTGCCTGGAT AAAGAGGAAAGCTTACTTGTTTAATGGCAGCCACATGCACGAAGATGCTAAGAAGAAAAA GAATTCCAAATCCTCAACTTTTGAGGTTTCGGCTCTCCAATTTAACTCTTTGGCAACAGG AAACAGGTTTTGCAAGTTCAAGGTTCACTCCCTATATGTGATTATAGGAATTGTTTGTGG AAATGGATTAACATACCCGTCTATGCCTAAAAGATAATAAAACTGAAATATGTCTTCACA GGTCTCCCACAAAAAAAAAAAAAA NM_001243281; Homo sapiens activated leukocyte cell adhesion molecule (ALCAM), transcript variant 3, mRNA. (SEQ ID NO: 78) GCACGCGGTTCTCCCTGATCCCGGAGCTGGGCTCAGGGCTCGGACTCAGTCCTGCAGCGC CTCTAGGCTGCGGATCCGCGCTTCAACCACCTGCTTTGCGCTGCGTCCGGGGAAGTGGGG AGGAGACGGGAGGGAGGGAGGAGGCGGGGAGAGGAGGAAAGAGGCAGCTTACACACGCCT TCCAGTCCCTCTACTCAGAGCAGCCCGGAGACCGCTGCCGCCGCTGCCGCTGCTACCACC GCTGCCACCTGAGGAGACCCGCCGCCCCCCCGTCGCCGCCTCCTGCGAGTCCTTCTTAGC ACCTGGCGTTTCATGCACATTGCCACTGCCATTATTATTATCATTCCAATACAAGGAAAA TAAAAGAAGATACCAGCGAAAAGAACCGCTTACACCTTTCCGAATTACTCAAGTGTCTCC TGGAAACAGAGGGTCGTTGTCCCCGGAGGAGCAGCCGAAGGGCCCGTGGGCTGGTGTTGA CCGGGAGGGAGGAGGAGTTGGGGGCATTGCGTGGTGGAAAGTTGCGTGCGGCAGAGAACC GAAGGTGCAGCGCCACAGCCCAGGGGACGGTGTGTCTGGGAGAAGACGCTGCCCCTGCGT CGGGACCCGCCAGCGCGCGGGCACCGCGGGGCCCGGGACGACGCCCCCTCCTGCGGCGTG GACTCCGTCAGTGGCCCACCAAGAAGGAGGAGGAATATGGAATCCAAGGGGGCCAGTTCC TGCCGTCTGCTCTTCTGCCTCTTGATCTCCGCCACCGTCTTCAGGCCAGGCCTTGGATGG TATACTGTAAATTCAGCATATGGAGATACCATTATCATACCTTGCCGACTTGACGTACCT CAGAATCTCATGTTTGGCAAATGGAAATATGAAAAGCCCGATGGCTCCCCAGTATTTATT GCCTTCAGATCCTCTACAAAGAAAAGTGTGCAGTACGACGATGTACCAGAATACAAAGAC AGATTGAACCTCTCAGAAAACTACACTTTGTCTATCAGTAATGCAAGGATCAGTGATGAA AAGAGATTTGTGTGCATGCTAGTAACTGAGGACAACGTGTTTGAGGCACCTACAATAGTC AAGGTGTTCAAGCAACCATCTAAACCTGAAATTGTAAGCAAAGCACTGTTTCTCGAAACA GAGCAGCTAAAAAAGTTGGGTGACTGCATTTCAGAAGACAGTTATCCAGATGGCAATATC ACATGGTACAGGAATGGAAAAGTGCTACATCCCCTTGAAGGAGCGGTGGTCATAATTTTT AAAAAGGAAATGGACCCAGTGACTCAGCTCTATACCATGACTTCCACCCTGGAGTACAAG ACAACCAAGGCTGACATACAAATGCCATTCACCTGCTCGGTGACATATTATGGACCATCT GGCCAGAAAACAATTCATTCTGAACAGGCAGTATTTGATATTTACTATCCTACAGAGCAG GTGACAATACAAGTGCTGCCACCAAAAAATGCCATCAAAGAAGGGGATAACATCACTCTT AAATGCTTAGGGAATGGCAACCCTCCCCCAGAGGAATTTTTGTTTTACTTACCAGGACAG CCCGAAGGAATAAGAAGCTCAAATACTTACACACTGACGGATGTGAGGCGCAATGCAACA GGAGACTACAAGTGTTCCCTGATAGACAAAAAAAGCATGATTGCTTCAACAGCCATCACA GTTCACTATTTGGATTTGTCCTTAAACCCAAGTGGAGAAGTGACTAGACAGATTGGTGAT GCCCTACCCGTGTCATGCACAATATCTGCTAGCAGGAATGCAACTGTGGTATGGATGAAA GATAACATCAGGCTTCGATCTAGCCCGTCATTTTCTAGTCTTCATTATCAGGATGCTGGA AACTATGTCTGCGAAACTGCTCTGCAGGAGGTTGAAGGACTAAAGAAAAGAGAGTCATTG ACTCTCATTGTAGAAGGCAAACCTCAAATAAAAATGACAAAGAAAACTGATCCCAGTGGA CTATCTAAAACAATAATCTGCCATGTGGAAGGTTTTCCAAAGCCAGCCATTCAATGGACA ATTACTGGCAGTGGAAGCGTCATAAACCAAACAGAGGAATCTCCTTATATTAATGGCAGG TATTATAGTAAAATTATCATTTCCCCTGAAGAGAATGTTACATTAACTTGCACAGCAGAA AACCAACTGGAGAGAACAGTAAACTCCTTGAATGTCTCTGCTATAAGTATTCCAGAACAC GATGAGGCAGACGAGATAAGTGATGAAAACAGAGAAAAGGTGAATGACCAGGCAAAACTA ATTGTGGGAATCGTTGTTGGTCTCCTCCTTGCTGCCCTTGTTGCTGGTGTCGTCTACTGG CTGTACATGAAGAAGTCAAAGTGAGTTGTGGAAAAAAGATCTTCATCGTTCATTGACTTT CACTGGGAGAAAATACAATGTGCTAATTTTGCTCACTCCAGTCGTGCATATAATTTATAC AATAAGGAAGATGTATCCCCAAATCAGGTTGATTATATATTTTGTTTCAACTAATTTTGA CTACACTGCCTTTGTCAGGGACATGGCTTGGGATACTGTTTCACATGTGTCCGTTTATTT GTCTCAATCAATAGCCTGAATTCAATTATTTGATTTTTTCAGTGCTTGAGTGAATTTTTT AAAGCGTATACTTCCTAAAGGTCAACAACCATAGACTTTTTGGTTGAAGTTGGAGAAGAT TCATTAAAAGTACCTAGTACATCTTGTAGGGACTGCCAGGTGTCTTTGCAGTGACACATC TGGCCAGCAATGAAACTGCTGCTGAGGTAGGAATATCTTATTGTTATTACTCCCATATTC TAGTTAGTTGACTTTGATCCATATAAGAGTCTATATCAGAGAAAATCATGTCATTATGTC AACTTGAGTTTTTAAAAATGGATTAAAGTACCAACACTACATTAAAAATGCTTTAGAGAT GTTAAAAAAAAAAAAAAAAAA NM_001243283; Homo sapiens activated leukocyte cell adhesion molecule (ALCAM), transcript variant 4, mRNA. (SEQ ID NO: 79) GCACGCGGTTCTCCCTGATCCCGGAGCTGGGCTCAGGGCTCGGACTCAGTCCTGCAGCGC CTCTAGGCTGCGGATCCGCGCTTCAACCACCTGCTTTGCGCTGCGTCCGGGGAAGTGGGG AGGAGACGGGAGGGAGGGAGGAGGCGGGGAGAGGAGGAAAGAGGCAGCTTACACACGCCT TCCAGTCCCTCTACTCAGAGCAGCCCGGAGACCGCTGCCGCCGCTGCCGCTGCTACCACC GCTGCCACCTGAGGAGACCCGCCGCCCCCCCGTCGCCGCCTCCTGCGAGTCCTTCTTAGC ACCTGGCGTTTCATGCACATTGCCACTGCCATTATTATTATCATTCCAATACAAGGAAAA TAAAAGAAGATACCAGCGAAAAGAACCGCTTACACCTTTCCGAATTACTCAAGTGTCTCC TGGAAACAGAGGGTCGTTGTCCCCGGAGGAGCAGCCGAAGGGCCCGTGGGCTGGTGTTGA CCGGGAGGGAGGAGGAGTTGGGGGCATTGCGTGGTGGAAAGTTGCGTGCGGCAGAGAACC GAAGGTGCAGCGCCACAGCCCAGGGGACGGTGTGTCTGGGAGAAGACGCTGCCCCTGCGT CGGGACCCGCCAGCGCGCGGGCACCGCGGGGCCCGGGACGACGCCCCCTCCTGCGGCGTG GACTCCGTCAGTGGCCCACCAAGAAGGAGGAGGAATATGGAATCCAAGGGGGCCAGTTCC TGCCGTCTGCTCTTCTGCCTCTTGATCTCCGCCACCGTCTTCAGGCCAGGCCTTGGATGG TATACTGTAAATTCAGCATATGGAGATACCATTATCATACCTTGCCGACTTGACGTACCT CAGAATCTCATGTTTGGCAAATGGAAATATGAAAAGCCCGATGGCTCCCCAGTATTTATT GCCTTCAGATCCTCTACAAAGAAAAGTGTGCAGTACGACGATGTACCAGAATACAAAGAC AGATTGAACCTCTCAGAAAACTACACTTTGTCTATCAGTAATGCAAGGATCAGTGATGAA AAGAGATTTGTGTGCATGCTAGTAACTGAGGACAACGTGTTTGAGGCACCTACAATAGTC AAGGTGTTCAGTAAGTAGTCTGCAGCAGTGTCACTGCTAAGTGGGATTGATGGCCAGTAC CAGACCATGTTCTTTAGAAAGAAGACTGAACTCTCTGTAGTGTCTCTATAGCAGGTATCT ATATAAGGGGACTTAAAGAGATCTTCATTCTGCTCATATATACTATCAGCAAAGAAAACA AAGAGTATGAAATTCAAATAGGAGATTTGCAGTGAGGAACTAAAATAATATTCTCTGTTA CTTTGTCATGTAAAAATGTCGTGAGCTATGAAGTACTACTACTGATAACTAGCAGGTGAT CTTAATTTTTACTGACATGTACAAATAAGTGTTGTGTGATACATACATAGATATATGATA TATATGTAATCATGTATATCACGCATACATATACATGTATTTGGCTGAACCAAATGAAAT TGCCATTTTGCTGCATAATAAAAAAATATAAGCAAATTCAAACTATATTTTAACAGAGGT ATAAATTTTCCATTTATATATATCCACATATATAAATATCCCATATATATCCACATACAA ATATTTTATATATTATATATATTAGAGATATAGATACATTTCCATCCTGACCTTTATTGA CTGGTTATTGATTTAGATTTCAAAAAGTATTCACTTGCTTTAGAAAATTGTCCTAAAATT AAAAAAACTCACTATACCCTGAATGCTTATGTGGGATACACCAAGGGGAGAAAGTAGAGT AGTGATGGAAGAAGAGAAAATTGTAGAAGAAACTTGGAATAATTATAGTCACTATGACAA AATTACTTTGCCTAATGATAGCATATAGTTAATGTTACTGTGCAAATAACTGTGCAAATG AATGACTTGAGAAGTTATAATTAAAGTATTTCATCTTTTAAAACTCAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA

To investigate the role of CD166, CD4+CD44^(lo)CD62L^(hi) naïve CD4 T cells were sorted by FACS and cultured in vitro with plate-bound anti-CD3 (2 ug/ml) and anti-CD28 (2 ug/ml) plus the following polarizing cytokines: IL12 (20 ng/ml) for Th1 cells; IL4 (20 ng/ml) for Th2 cells; TGFb (5 ng/ml) for iTreg cells; IL27 (25 ng/ml) for Tr1 cells; TGFb (2 ng/ml) and IL6 (25 ng/ml) for non-pathogenic Th17; TGFb (2 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml), or, (20 ng/ml), IL6 (25 ng/ml) and IL23 (20 ng/ml) for pathogenic Th17. Expression of CD166 was measured by FACS on day 3. The data showed that CD166 is highly expressed by pathogenic Th17 cells. (FIG. 48). To determine the effect of plate-bound CD166, naïve T cells from spleen of WT or Gp49b KO mouse were differentiated into pathogenic in vitro with anti-CD3/CD28 Dynabeads in the presence of plate bound recombinant CD166 (10 ug/ml) or BSA (10 ug/ml) as control. Cytokine production from Th17 cells were measured by FACS on day 4. The data showed that plate-bound CD166 inhibits GM-CSF and enhances IL10 production from pathogenic Th17 cells in a Gp49 dependent way (FIG. 49). Next, the role of exogenous CD166 was assayed. In vitro differentiated pathogenic and non-pathogenic Th17 cells were incubated with recombinant His-tagged CD166 (10 ug/ml) in indicated buffer at room temperature for 30 min, washed twice, and then incubated with anti-His antibody for 10 min. Stained cells were analyzed by FACS. The data showed that exogenous CD166 binds weakly to Th17 cells (FIG. 50).

To determine the amount of ILT-3 expression on exhausted CD8 T cells, T cells were assayed by microarray and RNA-seq. The data showed that Lilrb4 expression is upregulated on exhausted CD8 T cells (FIG. 51). To determine ILT-3 expression on the cell surface, 0.5 million of B16F10 cells (malignant melanoma cells) were injected subcutaneously into the right flank of C57BL/6J mice. On day 15, tumor infiltrating leukocytes were isolated by collagenase D digestion followed by Percoll gradient centrifugation. Expression of Gp49, PD1, Tim3 were measured by FACS. The data showed Gp49 expression upregulated on CD8+ T cells, suggesting that Gp49a and Gp49b are co-stimulatory and co-inhibitory receptors on CD8 cells in anti-tumor immunity (FIG. 52). This experiment was repeated with MC38 cells (colon adenocarcinoma cells). 1 million of MC38 cells were injected subcutaneously into the right flank of C57BL/6J mice. On day 25, tumor infiltrating leukocytes were isolated by collagenase D digestion followed by Percoll gradient centrifugation. Expression of Gp49, PD1, Tim3 were measured by FACS. The data showed that Lilrb4 expression is upregulated on exhausted CD8+ T cells (FIG. 53).

Taken together, the data presented herein demonstrate that ILT-3 and its ligands, integrin αvβ3, CD166, and Angpts play a role in regulating the differentiation and function of Th17 cells, thereby influencing their pathogenicity in EAE, a mouse model of multiple sclerosis. Further, ILT-3/Gp49a and CD166 expression are enriched on exhausted cells in tumor, demonstrating that they can regulate dysfunction of CD8+ T cells in the tumor microenvironment. Modulating these molecules can be beneficial for the treatment of T cell exhaustion, multiple sclerosis, and cancer.

Therapeutic Modulation of ILT-3

In a certain example, modulation of ILT-3 is used in the treatment of cancer in a patient in need thereof. In a certain example, Applicants modulate expression or activity of ILT-3 in autologous T cells obtained from a patient in need thereof to perform adoptive cell transfer. The autologous T cells may be made resistant to exhaustion or exhausted T cells are activated by knockdown or knockout of expression or activity of ILT-3. Additionally, activity or expression of ILT-3 is modulated in CAR T cells. T cells may be modulated ex vivo and transferred to a patient by any method described herein. Non-limiting examples of suitable variable regions of the CAR include variable regions derived from one or more of the following monoclonal antibodies: clone ZM3.8 (Cella, M. et al. A novel inhibitory receptor (ILT3) expressed on monocytes, macrophages, and dendritic cells involved in antigen processing. J. Exp. Med. 185, 1743-1751 (1997)), clone ZM4.1, clone 293622 (R&D Systems, catalog # MAB2425) and/or clone 293623 (R&D Systems, catalog # MAB24251).

In a certain example, dysfunctional CD8⁺ T cells are targeted in vivo in a patient in need thereof, such that T cells expressing ILT-3 are targeted with a therapeutic composition with specific affinity for ILT-3. The therapeutic composition may be an antibody, such as but not limited to an antibody drug conjugate. In some embodiments, the patient in need thereof has been diagnosed with cancer. Effective tumor control in a patient diagnosed with cancer may be provided by removing dysfunctional T cells in the tumor microenvironment, thus enhancing immunity and decreasing suppression. Nonlimiting examples of suitable antibodies include clone ZM3.8 (Cella, M. et al. A novel inhibitory receptor (ILT3) expressed on monocytes, macrophages, and dendritic cells involved in antigen processing. J. Exp. Med. 185, 1743-1751 (1997)), clone ZM4.1, clone 293622 (R&D Systems, catalog # MAB2425) and/or clone 293623 (R&D Systems, catalog # MAB24251) or antibodies comprising one or more variable regions thereof.

In a certain example, dysfunctional CD8⁺ T cells are targeted in vivo in a patient in need thereof by administering an effective amount of a soluble variant of ILT-3 comprising all or part of a polypeptide encoded by NM_001278430 (SEQ ID NO: 74). In some embodiments, the patient in need thereof has been diagnosed with cancer. Effective tumor control in a patient diagnosed with cancer may be provided by removing dysfunctional T cells in the tumor microenvironment, thus enhancing immunity and decreasing suppression.

Experimental Procedures for Verifying Activity of ILT-3 Tumor Experiments

B16F10 (5×10⁵) are implanted subcutaneously into the right flank. Tumor size is measured in two dimensions by caliper and is expressed as the product of two perpendicular diameters. For adoptive transfer tumor experiments, tumor cells are implanted five days prior to intravenous injection of T cells. Naïve)(CD8⁺ CD62L⁺CD44^(lo)) T cells from PMEL (for crispr/cas9 targeting experiments) are isolated by cell sorting (BDFACS Aria) and activated by 2 μg/ml each of plate-bound anti-CD3 and anti-CD28 antibodies for 48 hours, rested for 3 days, and then reactivated with 1 ug/ml of anti-CD3 and anti-CD28 antibodies for 2 days prior to transfer into recipient mice. Retroviral and lentiviral infections of primary T cells are optimized and experiments are performed as described herein. Briefly, retrovirus is used to spin-infect T cells one day after activation and lentivirus is used to infect T cells twice, at 16 hours prior to activation and at 4 hours post activation. Targeting efficiency of retrovirus is determined by measuring GFP expression; whereas effective CRISPR/cas9-mediated deletion of the target gene using lentivirus is determined by qPCR.

Isolation of Tumor Infiltrating Lymphocytes.

Tumor infiltrating lymphocytes are isolated by dissociating tumor tissue in the presence of collagenase D (2.5 mg/ml) for 20 min prior to centrifugation on a discontinuous Percoll gradient (GE Healthcare). Isolated cells are then used in various assays of T cell function. Cells are cultured in DMEM supplemented with 10% (vol/vol) FCS, 50 μM 2-mercaptoethanol, 1 mM sodium pyruvate, nonessential amino acids, L-glutamine and 100 U/ml penicillin and 100 μg/ml streptomycin.

Flow Cytometry

Single cell suspensions are stained with antibodies against surface molecules. CD4 (RM4-5), CD8 (53-6.7), and PD-1 (RMP1-30) antibodies are purchased from BioLegend. Tim-3 (5D12) antibody is generated in house. Fixable viability dye eF506 (eBioscience) is used to exclude dead cells. For intra-cytoplasmic cytokine staining, cells are stimulated with 12-myristate 13-acetate (PMA) (50 ng/ml, Sigma-Aldrich, MO), ionomycin (1 μg/ml, Sigma-Aldrich, MO) in the presence of Brefeldin A (Golgiplug, BD Bioscience) for four hours prior to staining with antibodies against surface proteins followed by fixation and permeabilization and staining with antibodies against IL-2 (JES6-5H4), TNF-α (MP6-XT22), IFN-γ (XMG-1.2) (eBioscience), and Granzyme B (GB11) (Biolegend). For measurement of intracellular zinc, cells are stained with 1 μM Zinpyr-1 (Sigma) in PBS for 20 min at 37 deg, washed with media, followed by regular surface staining. All data are collected on a BD LsrII (BD Biosciences) and analyzed with FlowJo software (Tree Star).

Generation of Lentiviral Constructs Using CRISPR/CAS9 Targeting.

The initial guide sequences are selected based on the exon structure of target genes and ranked by the repertoire of potential off-target sites to select designs that minimize the possibility of off-target cleavage. The guides are then cloned into CRISPR-Cas9 vectors via golden-gate cloning as described previously (Cong et al., 2013, Science 339, 819-823). The vector used is a lenti-viral vector, pCKO_2, bearing mammalian-codon-optimized SaCas9 linked to puromycin selection cassette (Ran et al., 2015, Nature 520, 186-191; Shalem et al., 2014, Science 343, 84-87), and an sgRNA-expression cassette that has been modified to enhance RNA expression. The constructs are sequence verified and then tested to screen for the efficiency of each guide using a mouse T-lymphocyte cell line, EL4 (ATCC) before moving on to lentiviral production. To quantify the genomic modification induced by the CRISPR-Cas9 system, genomic DNA is extracted using QuickExtract Solution (Epicentre), as described previously (Cong et al., 2013, supra). Indel formation is measured by either SURVEYOR nuclease assay (IDT DNA) or targeted deep sequencing as described previously (Cong et al., 2013, supra). Briefly, the genomic region around the CRISPR-Cas9 targeting site is amplified, and then subject to either SURVEYOR nuclease digestion following re-annealing or re-amplified to add on Illumina P5/P7 adapters with barcodes for deep-sequencing analysis using the MiSeq sequencing system (Illumina).

After screening of guides in cell lines, the top-ranked guides based on their targeting efficiency are used for viral production. 293FT cells (Thermo Fisher) are maintained as recommended by the manufacturer in 150 mm plates. For each transfection, 10 μg of pVSVG envelope plasmid, 15 μg of pDelta packaging plasmids, and 20 μg of pCKO_2 vector carrying the construct of interest is used. The transfection is either carried out using lipofectamine 2000 (Thermo Fisher) following the manufacturer's recommendations, or with PEI, where 5:1 ratio of PEI solution was added to the DNA mixture, and incubated for 5 minutes before adding the final complex onto cells. After incubation for 16 hours, 20 mL of fresh warm media is applied to replace the old growth media. Virus is harvested between 48 h and 72 h post transfection by taking the supernatant and pelleting cell debris via centrifugation. The viral particles are then filtered through a 0.45 μm filtration system (Millipore), and then either directly used as purified supernatant, or concentrated further with 15-mL Amicon concentrator (Millipore). Lentiviral vectors were titered by real-time qPCR using a customized probe against the transgene.

For all primary T-cell experiments, the efficacy of the CRISPR-Cas9 lentiviral vectors is first tested by transducing in vitro primary mouse T-cell culture, followed by cleavage measurement and qPCR detection of target gene knock-down. The most efficient viral constructs are then used for downstream experiments.

The invention is further described by the following numbered paragraphs:

1. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of ILT-3.

2. The method of paragraph 1, wherein the T cell dysfunction is T cell exhaustion.

3. The method of paragraph 2, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

4. The method of paragraph 1, wherein the modulating agent promotes the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

5. The method of paragraph 1, wherein the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

6. The method of paragraph 1, wherein the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.

7. The method of paragraph 6, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

8. The method of paragraph 1, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

9. The method of paragraph 8, wherein the modulating agent comprises an antibody agent.

10. The method of paragraph 9, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623.

11. The method of paragraph 8, wherein the modulating agent comprises a soluble variant of ILT-3.

12. The method of paragraph 11, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

13. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of ILT-3 to a subject in need thereof.

14. The method of paragraph 13 wherein the condition is cancer or a persistent infection.

15. The method of paragraph 13, wherein the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

16. The method of paragraph 13, wherein the modulating agent promotes or activates the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.

17. The method of paragraph 13, wherein the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.

18. The method of paragraph 17, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

19. The method of paragraph 13 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

20. The method of paragraph 19, wherein the modulating agent comprises an antibody agent.

21. The method of paragraph 20, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and 293623.

22. The method of paragraph 19, wherein the modulating agent comprises a soluble variant of ILT-3.

23. The method of paragraph 22, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).

24. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

25. The method of paragraph 24 wherein the sample is from an individual with cancer or a persistent infection.

26. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein.

27. The method of paragraph 26, wherein the T cell dysfunction is T cell exhaustion.

28. The method of paragraph 27, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

29. The method of paragraph 26, wherein the modulating agent promotes the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

30. The method of paragraph 26, wherein the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

31. The method of paragraph 26, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

32. The method of paragraph 31, wherein the modulating agent comprises an antibody agent.

33. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein to a subject in need thereof.

34. The method of paragraph 33 wherein the condition is cancer or a persistent infection.

35. The method of paragraph 33, wherein the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

36. The method of paragraph 33, wherein the modulating agent promotes or activates the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.

37. The method of paragraph 33 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

38. The method of paragraph 37, wherein the modulating agent comprises an antibody agent.

39. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of an angiopoetin or angiopoietin-like protein, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

40. The method of paragraph 39, wherein the sample is from an individual with cancer or a persistent infection.

41. The method of paragraph 39, wherein the angiopoetin or angiopoetin-like protein is selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.

42. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of CD166.

43. The method of paragraph 42, wherein the T cell dysfunction is T cell exhaustion.

44. The method of paragraph 43, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

45. The method of paragraph 42, wherein the modulating agent promotes the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

46. The method of paragraph 42, wherein the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

47. The method of paragraph 42, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

48. The method of paragraph 47, wherein the modulating agent comprises an antibody agent.

49. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function CD166 to a subject in need thereof.

50. The method of paragraph 49 wherein the condition is cancer or a persistent infection.

51. The method of paragraph 49, wherein the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

52. The method of paragraph 49, wherein the modulating agent promotes or activates the expression, activity and/or function of the CD166 gene or gene product or combination thereof.

53. The method of paragraph 49 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

54. The method of paragraph 53, wherein the modulating agent comprises an antibody agent.

55. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of CD166, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

56. The method of paragraph 55, wherein the sample is from an individual with cancer or a persistent infection.

57. An isolated immune cell modified to comprise an altered expression or activity of, or modified to comprise an agent capable of inducibly altering expression or activity of, one or more of protein C receptor (PROCR), PRDM1 and c-MAF, and Podoplanin (PDPN).

58. The isolated immune cell according to paragraph 57, wherein the immune cell is a T cell, preferably a CD8+ T cell.

59. The isolated immune cell according to any one of paragraphs 57 to 58, wherein the immune cell displays tumor specificity.

60. The isolated immune cell according to paragraph 59, wherein the immune cell has been isolated from a tumor of a subject, preferably wherein the immune cell is a tumor infiltrating lymphocyte.

61. The isolated immune cell according to paragraph 59, wherein the immune cell comprises a tumor-specific chimeric antigen receptor (CAR).

62. The isolated immune cell according to any one of paragraphs 57 to 61, modified to comprise downregulated or abolished expression or activity of PROCR, PRDM1 and c-MAF, or PDPN.

63. The isolated immune cell according to paragraph 61, wherein the endogenous PROCR, PRDM1 and c-MAF, or PDPN gene has been modified, whereby the cell comprises downregulated or abolished expression or activity of PROCR, PRDM1 and c-MAF, or PDPN.

64. The isolated immune cell according to paragraph 63, wherein the endogenous PROCR, PRDM1 and c-MAF, or PDPN genes has been modified using a nuclease.

65. The isolated immune cell according to paragraph 64, wherein the nuclease comprises (i) a DNA-binding portion configured to specifically bind to the endogenous PROCR, PRDM1 and c-MAF, or PDPN genes and (ii) a DNA cleavage portion.

66. The isolated immune cell according to paragraph 65, wherein the DNA-binding portion comprises:

-   -   a zinc finger protein or DNA-binding domain thereof, a         transcription activator-like effector (TALE) protein or         DNA-binding domain thereof, or an RNA-guided protein or         DNA-binding domain thereof;     -   a Cas protein modified to eliminate its nuclease activity; or     -   a DNA-binding domain of a Cas protein.

67. The isolated immune cell according to any one of paragraphs 65 to 70, wherein the DNA cleavage portion comprises FokI or variant thereof or DNA cleavage domain of FokI or variant thereof.

68. The isolated immune cell according to paragraph 65, wherein the nuclease is an RNA-guided nuclease, such as a Cas protein.

69. The isolated immune cell according to paragraph 65, wherein the cell comprises a protein comprising a DNA-binding portion configured to specifically bind to the endogenous PROCR, PRDM1 and c-MAF, or PDPN genes.

70. The isolated immune cell according to paragraph 69, wherein the protein is a heterologous repressor protein capable of repressing the transcription of the endogenous PROCR, PRDM1 and c-MAF, or PDPN genes.

71. The isolated immune cell according to paragraph 70, wherein the heterologous repressor protein comprises at least a DNA-binding portion configured to specifically bind to the endogenous PROCR, PRDM1 and c-MAF, or PDPN genes, preferably to the endogenous PROCR, PRDM1 and c-MAF, or PDPN gene promoter.

72. The isolated immune cell according to any one of paragraphs 70 or 71, wherein the heterologous repressor protein comprises (i) a DNA-binding portion configured to specifically bind to the endogenous PDPN gene, preferably to the endogenous PDPN gene promoter, and (ii) a transcription repression portion.

73. The isolated immune cell according to paragraphs 71 or 72, wherein the DNA-binding portion comprises:

-   -   a zinc finger protein or DNA-binding domain thereof, a         transcription activator-like effector (TALE) protein or         DNA-binding domain thereof, or an RNA-guided protein or         DNA-binding domain thereof;     -   a Cas protein modified to eliminate its nuclease activity; or     -   a DNA-binding domain of a Cas protein.

74. The isolated immune cell according to any one of paragraphs 57 to 73, further modified to comprise:

-   -   (a) an altered expression or activity of PDPN;     -   (b) an altered expression or activity of PRDM1 and c-MAF;     -   (c) an altered expression or activity of PROCR;     -   (d) an altered expression or activity of any one or more of PD1,         CTLA4, TIGIT, TIM3, LAG3, and PDL1;     -   (e) an altered expression or activity of any one or more of         TIGIT, LAG3, ILT-3 (LILRB4), and KLRC1;     -   (f) an altered expression or activity of any one or more of         CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1,         IL12RB1, IL1R1, and SLAMF7;     -   (g) an altered expression or activity of any one or more of         PDPN, PROCR, TIGIT, LAG3, ILT-3, ALCAM and KLRC1;     -   (h) an altered expression or activity of any one or more of         BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR,         ILT-3, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1,         IL1R1, and SLAMF7;     -   (i) an agent capable of inducibly altering expression or         activity of PDPN;     -   (j) an agent capable of inducibly altering expression or         activity of PRDM1 and c-MAF;     -   (k) an agent capable of inducibly altering expression or         activity of PROCR;     -   (l) an agent capable of inducibly altering expression or         activity of any one or more of PD1, CTLA4, TIGIT, TIM3, LAG3,         and PDL1;     -   (m) an agent capable of inducibly altering expression or         activity of any one or more of TIGIT, LAG3, ILT-3, and KLRC1;     -   (n) an agent capable of inducibly altering expression or         activity of any one or more of CD226, OX-40, GITR, TNFSF9         (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7;     -   (o) an agent capable of inducibly altering expression or         activity of any one or more of PDPN, PROCR, TIGIT, LAG3, ILT-3,         ALCAM and KLRC1; or     -   (p) an agent capable of inducibly altering expression or         activity of any one or more of BTLA, TIGIT, HAVCR2 (TIM-3),         LAG3, PDPN, IL10RA, IL1R2, PROCR, ILT-3, KLRC1, KLRC2, KLRE1,         TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, or SLAMF7.

75. A cell population of immune cells as defined in any one of paragraphs 57 to 74.

76. A method for generating the modified immune cell as defined in any one of paragraphs 57 to 74, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an altered expression or activity of PDPN, PROCR, or PRDM1 and c-MAF.

77. A method for generating the modified immune cell as defined in any one of paragraphs 57 to 74, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an agent capable of inducibly altering expression or activity of PDPN, PROCR, or PRDM1 and c-MAF.

78. The method according to any one of paragraphs 76 or 77, wherein the step of providing the isolated immune cell comprises providing the immune cell isolated from a subject, or isolating the immune cell from a subject.

79. The method according to paragraph 78, wherein the immune cell isolated from the subject expresses PDPN, PROCR, and/or PRDM1 and c-MAF, wherein the immune cell isolated from the subject is dysfunctional or is not dysfunctional, or wherein the immune cell isolated from the subject expresses a signature of dysfunction as defined in any one of paragraphs 90 to 94.

80. The method of any one of paragraphs 76 to 79, further comprising the step of expanding the isolated immune cell prior to and/or subsequent to the modification.

81. A pharmaceutical composition comprising the isolated immune cell according to any one of paragraphs 57 to 74, or the cell population according to paragraph 75.

82. The isolated immune cell according to any one of paragraphs 57 to 74, or the cell population according to paragraph 75, for use in therapy, wherein therapy comprises immunotherapy or adoptive immunotherapy, preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection.

83. The isolated immune cell or cell population for use according to paragraph 82 in a subject, wherein the subject has been determined to comprise immune cells which:

-   -   (a) express PDPN, PROCR, and/or PRDM1 and c-MAF;     -   (b) are dysfunctional, or are not dysfunctional; or     -   (c) express a signature of dysfunction as defined in any one of         paragraphs 90 to 94.

84. A method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, comprising administering to said subject the isolated immune cell according to any one of paragraphs 57 to 74, or the cell population according to paragraph 75.

85. The method according to paragraph 84, further comprising administering to said subject one or more other active pharmaceutical ingredient, preferably wherein said one or more other active pharmaceutical ingredient is useful in immunotherapy or adoptive immunotherapy, or wherein said one or more other active pharmaceutical ingredient is useful in the treatment of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, wherein the one or more other active pharmaceutical ingredient is:

-   -   (a) an agonist of a cell molecule, such as a cell surface         molecule, which when activated is capable of upregulating immune         response, such as one or more of an agonist of 4-1BB, an agonist         of OX40, an agonist of GITR, an agonist of STING, an agonist of         TLR, and an agonist of BTLA; and/or     -   (b) an inhibitor of a cell molecule, such as a cell surface         molecule, which when not inhibited is capable of downregulating         immune response, such as a checkpoint inhibitor, or such as one         or more of an antagonist of PD1, an antagonist of CTLA4, an         antagonist of BTLA, an antagonist of TIGIT, an antagonist of         TIM3, an antagonist of LAG3, an antagonist of VISTA, an         antagonist of ILT-3, an antagonist of CD160, an antagonist of         CD274, and an antagonist of IDO.

86. The method according to any one of paragraphs 84 to 85, wherein the subject has been determined to comprise immune cells which:

-   -   (a) express PDPN, PROCR, and/or PRDM1 and c-MAF;     -   (b) are dysfunctional, or are not dysfunctional; or     -   (c) express a signature of dysfunction as defined in any one of         paragraphs 90 to 94.

87. A method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, comprising:

-   -   (a) providing an isolated immune cell from the subject, or         isolating an immune cell from a subject;     -   (b) modifying said isolated immune cell such as to comprise an         altered expression or activity of PDPN, PROCR, and/or PRDM1 and         c-MAF, or modifying said isolated immune cell such as to         comprise an agent capable of inducibly altering expression or         activity of PDPN, PROCR, and/or PRDM1 and c-MAF; and     -   (c) reintroducing the modified isolated immune cell to the         subject.

88. The method according to paragraph 87, wherein the immune cell isolated from the subject:

-   -   (a) expresses PDPN, PROCR, and/or PRDM1 and c-MAF;     -   (b) is dysfunctional or is not dysfunctional; or     -   (c) expresses a signature of dysfunction as defined in any one         of paragraphs 90 to 94.

89. The method of any one of paragraphs 87 or 88, further comprising the step of expanding the isolated immune cell prior to and/or subsequent to the modification, and before reintroduction to the subject.

90. A method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of Abca1, Adam8, Adam9, Alcam, Ccl5, Ccl9, Ccl9, Ccl9, Ccr2, Ccr5, Cd68, Cd93, Cxcl10, Cysltr2, Ddr1, Entpd1, Entpd1, Epcam, Gabarapl1, Gcnt1, Gpr65, Havcr2, Ifitm1, Ifitm3, Il10, Il10ra, Il12rb1, Il13ra1, Il1r1, Il1r2, Il21, Il2ra, Il2rb, Il33, Il6st, Inhba, Isg20, Klrc2, Klrc2, Klrc2, Klrc2, Klrc2, Klrc2, Klrd1, Klrk1, Lag3, Lamp2, Lpar3, Ly75, Ly75, Nampt, Olfm1, Pdpn, Pglyrp1, Procr, Pstpip1, Ptpn3, Sdc1, Sdc4, Selp, Sema7a, Slamf7, Spp1, Tgfb3, Tigit, Tnfrsf8, Tnfsf9, Vldlr, Bst2, Btla, Ccl1, Ccr4, Cd226, Cd40lg, Cd83, Cd8a, Csf2, Cxcl13, Cxcr4, Ifitm3, Isg20, Lap3, Lif, Serpinc1, Timp2, Tnfsf11, Acvrl1, Ada, Are, Bmp2, Bmpr1a, ccl22, Ccr6, Ccr8, Cd160, Cd200r4, Cd24a, Cd70, Cd74, Cmtm7, Csf1, Ctla2a, Ctla2b, Ctsd, Ctsl, Dlk1, Enpep, Enpp1, Eps8, F2r, Fgf2, Flt31, H2-Ab 1, Hspb1, Ifngr1, Il12rb2, Il18, Il18r1, Il18rap, Il2, Il24, Il27ra, Il4, Il4ra, Il7r, Itga4, Itga7, Itga9, Klrc1, Klre1, Lpar2, Lta, Ly6a, Ly6e, Nlgn2, Nrp1, Flt31, H2-Ab2, Hspb2, Ifngr2, Il12rb3, Il19, Il18r2, Il18rap, Il46, Il68, Il27ra, Il5, Smpd1, Tgdb3, Tirap, Tnfrsf13c, Tnfrsf23, Tnfsf10, Tnfsf4, Treml2, Trpc1, Trpm4, Tspan32, and Xcl1; or selected from the group consisting of ABCA1, ADAMS, ADAMS, ALCAM, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, ANGPTL8, CCL5, CCL15, CCL23, CCL15-CCL14, CCR2, CCR2, CD68, CD93, CXCL10, CYSLTR2, DDR1, ENTPD1, EPCAM, GABARAPL1, GCNT1, GPR65, HAVCR2, IFITM1, IFITM1, IL10, IL10RA, IL12RB1, IL13RA1, IL1R1, IL1R2, IL21, IL2RA, IL2RB, IL33, IL6ST, INHBA, ISG20, KLRC4-KLRK1, KLRC4, KLRC1, KLRC3, KLRC2, KLRD1, KLRK1, LAG3, LAMP2, LPAR3, LY75-CD302, LY75, NAMPT, OLFM1, PDPN, PGLYRP1, PROCR, PSTPIP1, PTPN3, SDC1, SDC4, SELP, SEMA7A, SLAMF7, SPP1, TGFB3, TIGIT, TNFRSF8, TNFSF9, VLDLR, BST2, BTLA, CCL1, CCR4, CD226, CD40LG, CD83, CD8A, CSF2, CXCL13, CXCR4, IFITM1, ISG20, LAP3, LIF, SERPINC1, TIMP2, TNFSF11, ACVRL1, ADA, BMPR1A, CCR5, CD160, CD166, CD24, CMTM7, CSF1, CTSD, CTSL1, CYSLTR2, ENPP1, EPS8, F2R, FLT3LG, HSPB1, IFNGR1, IL18, IL18R1, IL18RAP, IL24, IL24, IL27RA, IL27RA, IL4R, IL7R, ITGA4, ITGA7, LY6E, NLGN2, NRP1, OSM, PDE4B, PEAR1, PLXNC1, PRNP, PRNP, PRNP, PTPRJ, S1PR1, SDC1, SELL, SEMA4D, SERPINE2, SERPINE2, SMPD1, TIRAP, TNFSF10, TRPC1, TRPM4, and XCL1.

91. A method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of ABCA1, ADAM8, ADAM9, ALCAM, CCL5, CCL9, CCR2, CCR5, CD68, CD93, CTLA2A, CXCL10, CYSLTR2, ENTPD1, EPCAM, GABARAPL1, GCNT1, GPR65, HAVCR2, IFITM1, IFITM3, IL10IL10RA, IL12RB1, IL13RA1, IL1R1, IL1R2, IL21, IL2RA, IL2RB, IL33, IL6ST, INHBA, ISG20, KLRC2, KLRD1, KLRE1, KLRK1, LAG3, LAMP2, ILT-3, LPAR3, LY75, NAMPT, OLFM1, PDPN, PGLYRP1, PROCR, PSTPIP1, PTPN3, SDC1, SDC4, SELP, SEMA7A, SLAMF7, SPP1, TGFB3, TIGIT, TNFRSF8, TNFSF9, and VLDLR.

92. A method of detecting dysfunctional immune cells comprising detection of a gene expression signature comprising one or more markers selected from the group consisting of IL33, KLRC2, KLRD1, KLRE1, OLFM1, PDPN, PTPN3, SDC1, TNFSF9, VLDLR, PROCR, GABARAPL1, SPP1, ADAM8, LPAR3, CCL9, CXCL10, CCR2, IL10RA, IL2RB, CD68, KLRK1, IL12RB2, IL6ST, IL7R, INHBA, ISG20, LAMP2, LY75, NAMPT, S1PR1, IL21, IL13RA1, TIGIT, CCR5, ALCAM, HAVCR2, LAG3, IL1R2, CYSLTR2, ENTPD1, GCNT1, IFITM3, IL2RA, PGLYRP1, CD93, ADAM9, ILT-3, IL-10, CTLA2A, and GPR65.

93. The method of paragraphs 90-92, wherein the gene expression signature comprises at least three markers, or at least four markers, or at least five markers, or six or more markers, such as wherein the signature consists of two markers, three markers, four markers, or five markers.

94. The method of paragraphs 90-92, wherein the gene expression signature comprises two or more markers, and wherein:

-   -   (a) one of said two or more markers is PDPN;     -   (b) one of said two or more markers is PROCR; or     -   (c) two of said two or more markers are PDPN and PROCR.

95. A method of isolating a dysfunctional immune cell comprising binding of an affinity ligand to a signature gene as defined in any one of paragraphs 90 to 94, wherein the signature gene is expressed on the surface of the immune cell.

96. A kit of parts comprising means for detection of the signature of dysfunction as defined in any one of paragraphs 90 to 94.

97. A method of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

98. The method of paragraph 97, wherein the T-cell dysfunction is T-cell exhaustion.

99. The method of paragraph 98, wherein the modulation of T-cell exhaustion comprises a decrease in the exhausted T-cell phenotype, such that functional T-cell activity is increased.

100. The method of paragraph 97, wherein the selected target gene or gene product or a combination thereof is/are identified as participating in the inhibition of functional T-cell activity.

101. The method of paragraph 100, wherein the modulating agent inhibits the expression, activity and/or function of the selected target gene or gene product or combination thereof.

102. The method of paragraph 97, wherein the selected target gene or combination of target genes is/are identified as participating in the promotion of functional T-cell activity.

103. The method of paragraph 102, wherein the modulating agent promotes or activates the expression, activity and/or function of the selected target gene or gene product or combination thereof.

104. The method of paragraph 97, comprising contacting the dysfunctional T-cell with modulating agents that modulate the expression, activity and/or function of at least two target genes or gene products selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

105. The method of paragraph 97, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

106. The method of paragraph 97, further comprising contacting the dysfunctional T-cell with an agent or treatment selected from the group consisting of a PD-1 inhibitor, a CTLA4 inhibitor, chemotherapy, radiation therapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

107. A method of treating a condition involving or characterized by the presence of T cells exhibiting a dysfunctional or exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

108. The method of paragraph 107, wherein the condition is cancer or a persistent infection.

109. The method of paragraph 107, wherein the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

110. The method of paragraph 109, wherein the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

111. The method of paragraph 107, wherein a selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

112. The method of paragraph 111, wherein the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

113. The method of paragraph 107, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

114. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising at least one modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

115. The pharmaceutical composition of paragraph 114, wherein the composition comprises at least two modulating agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

116. The pharmaceutical composition of paragraph 114, wherein the composition comprises an agonist of OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

117. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising a first modulating agent that inhibits the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof and a second modulating agent that promotes the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

118. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising a modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof and an agent selected from the group consisting of a PD-1 inhibitor, a CTLA4 inhibitor, chemotherapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

119. The pharmaceutical composition of any one of paragraphs 114-118 wherein the T cell dysfunction comprises T cell exhaustion.

120. The pharmaceutical composition of any one of paragraphs 114-119 wherein the T cell exhaustion occurs in an individual with cancer or a persistent infection.

121. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising an inhibitor of the expression, activity, and/or function of PDPN and an inhibitor of the expression, activity, and/or function of PROCR.

122. The pharmaceutical composition of paragraph 121, further comprising an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of TIGIT, LAG3, ILT-3, and KLRC1; and/or an activator of the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7.

123. A pharmaceutical composition for modulating an IL-27-regulated co-inhibitory module comprising:

-   -   (a) an inhibitor of the expression and/or activity of at least         one of the molecules selected from the group consisting of PDPN,         PROCR, TIGIT, LAG3, ILT-3, ALCAM and KLRC1; and     -   (b) an activator of the expression and/or activity of at least         one of the molecules selected from the group consisting of         CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1,         IL12RB1, IL1R1, and SLAMF7.

124. The pharmaceutical composition of any one of paragraphs 121-123, further comprising an inhibitor of the expression and/or activity of TIM-3; an inhibitor of the expression and/or activity of PD-1; an inhibitor of the expression and/or activity of CTLA4; an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of PD-1; an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of CTLA4; an inhibitor of the expression and/or activity of CTLA4 and an inhibitor of the expression and/or activity of PD-1; or an inhibitor of the expression and/or activity of TIM-3, an inhibitor of the expression and/or activity of CTLA4 and an inhibitor of the expression and/or activity of PD-1.

125. The pharmaceutical composition of any one of paragraphs 121-124, wherein the inhibitors and activators are selected from an antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog.

126. The pharmaceutical composition of paragraph 125, wherein the antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog is selected from the group consisting of: an anti-CTLA4 antibody, an anti-PD-1 antibody, or aPDL-1 antagonist.

127. A method of modulating an IL-27-regulated co-inhibitory module in a subject in need thereof, the method comprising administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of PDPN and an inhibitor of the expression and/or activity of PROCR.

128. The method of paragraph 127, further comprising administering a pharmaceutical composition comprising an inhibitor of the expression and/or activity of at least one of the molecules selected from the group consisting of an inhibitor of the expression and/or activity of TIGIT, LAG3, ILT-3, and KLRC1; and/or an activator of the expression and/or activity of at least one of the molecules selected from the group consisting of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7.

129. A method of modulating an IL-27-regulated co-inhibitory module in a subject in need thereof, the method comprising:

-   -   (a) administering a pharmaceutical composition comprising an         inhibitor of the expression and/or activity of at least one of         the molecules selected from the group consisting of PDPN, PROCR,         TIGIT, LAG3, ILT-3, ALCAM, and KLRC1; and     -   (b) administering a pharmaceutical composition comprising an         activator the expression and/or activity of at least one of the         molecules selected from the group consisting of CD226, OX-40,         GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and         SLAMF7.

130. The method of any one of paragraphs 127-129, further comprising administering an inhibitor of the expression and/or activity of TIM-3; an inhibitor of the expression and/or activity of PD-1; an inhibitor of the expression and/or activity of CTLA4; an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of PD-1; an inhibitor of the expression and/or activity of TIM-3 and an inhibitor of the expression and/or activity of CTLA4; an inhibitor of the expression and/or activity of CTLA4 and an inhibitor of the expression and/or activity of PD-1; an inhibitor of the expression and/or activity of PD-1, and an inhibitor of the expression and/or activity of CTLA4.

131. The method of any one of paragraphs 127-130, wherein the inhibitors and activators are selected from an antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog.

132. The method of paragraph 131, wherein the antibody or antigen binding fragment thereof, a small molecule compound, a protein or peptide molecule, a DNA or RNA aptamer, an antisense or siRNA molecule, and a structural analog is selected from the group consisting of: an anti-CTLA4 antibody, an anti-PD-1 antibody, and a PDL-1 antagonist.

133. The method of any one of paragraphs 127-132, wherein the subject in need thereof has a disease or disorder characterized by T-cell exhaustion.

134. The method of any one of paragraphs 127-132, wherein the subject in need thereof is diagnosed or has been diagnosed as having a cancer or tumor.

135. The method of any one of paragraphs 127-132, wherein the subject in need thereof is diagnosed or has been diagnosed as having a persistent infection.

136. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the group consisting of: BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, ILT-3, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, and SLAMF7.

137. The method of paragraph 136, wherein the T cell dysfunction is T cell exhaustion.

138. The method of paragraph 137, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.

139. The method of paragraph 137, wherein the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

140. The method of paragraph 139, wherein the modulating agent promotes the expression, activity and/or function of the target gene or gene product or combination thereof.

141. The method of paragraph 137, wherein the selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

142. The method of paragraph 141, wherein the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

143. The method of paragraph 136, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

144. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the group consisting of: BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, ILT-3, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, and SLAMF7 to a subject in need thereof.

145. The method of paragraph 144 wherein the condition is cancer or a persistent infection.

146. The method of paragraph 144 wherein the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

147. The method of paragraph 146 wherein the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

148. The method of paragraph 144 wherein the selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

149. The method of paragraph 148 wherein the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

150. The method of paragraph 144 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

151. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of one or more genes or expression products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.

152. The method of paragraph 151 wherein the sample is from an individual with cancer or a persistent infection.

153. A method of treating a disease or disorder characterized by aberrant or unwanted T-cell functional activity in a subject in need thereof, the method comprising administering a therapeutically effective amount of a modulating agent effective to modulate the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 1, Table 2, Table 10, Table 11, Table 12, Table 13, and any combination thereof.

154. The method of paragraph 153, wherein the disease or disorder is an autoimmune disease or graft vs. host disease.

155. The method of paragraph 153, wherein the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

156. The method of paragraph 155, wherein the modulating agent promotes the expression, activity and/or function of the target gene or gene product or combination thereof.

157. The method of paragraph 153, wherein the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

158. The method of paragraph 153, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.

159. A method of modulating T-cell dysfunction, the method comprising contacting a dysfunctional T-cell with a modulating agent or agents that modulate the expression, activity and/or function of two or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

160. The method of paragraph 159, wherein the T-cell dysfunction is T-cell exhaustion.

161. The method of paragraph 160, wherein the modulation of T-cell exhaustion comprises a decrease in the exhausted T-cell phenotype, such that functional T-cell activity is increased.

162. The method of any one of paragraphs 159-161, wherein the selected target gene or gene product or a combination thereof is/are identified as participating in the inhibition of functional T-cell activity.

163. The method of paragraph 159, wherein the modulating agent inhibits the expression, activity and/or function of the selected target gene or gene product or combination thereof.

164. The method of any one of paragraphs 159-161, wherein the selected target gene or combination of target genes is/are identified as participating in the promotion of functional T-cell activity.

165. The method of paragraph 159, wherein the modulating agent promotes or activates the expression, activity and/or function of the selected target gene or gene product or combination thereof.

166. The method of any one of paragraphs 159-161, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

167. The method of any one of paragraphs 159-161, further comprising contacting the dysfunctional T-cell with an agent or treatment selected from the group consisting of a PD-1 inhibitor, a CTLA4 inhibitor, chemotherapy, radiation therapy, a Braf inhibitor, a MEK inhibitor, a Sting agonist, a TLR agonist, an IDO inhibitor, and an agonist for OX-40, 4-1BB, GITR, CD226, KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and/or SLAMF7.

168. The method of paragraph 159, wherein the condition is cancer or a persistent infection.

169. The method of paragraph 168, wherein the selected target gene or combination of target genes is/are identified as participating in the inhibition of T cell activation.

170. The method of paragraph 169, wherein the modulating agent inhibits the expression, activity and/or function of the target gene or gene product or combination thereof.

171. The method of paragraph 168, wherein a selected target gene or combination of target genes is/are identified as participating in the promotion of T cell activation.

172. The method of paragraph 171, wherein the modulating agent promotes or activates the expression, activity and/or function of the target gene or gene product or combination thereof.

173. The method of paragraph 168, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.

174. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising at least one modulating agent that modulates the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

175. The pharmaceutical composition of paragraph 174, wherein the composition comprises at least two modulating agents that modulate the expression, activity and/or function of two or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

176. A pharmaceutical composition for modulating T cell dysfunction, the composition comprising a first modulating agent that inhibits the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9 and a second modulating agent that promotes the expression, activity and/or function of one or more target genes or gene products thereof selected from the target genes listed in Table 5, Table 6, Table 7, Table 8, or Table 9.

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Having thus described in detail preferred embodiments of the present invention, it is to be understood that the invention defined by the above paragraphs is not to be limited to particular details set forth in the above description as many apparent variations thereof are possible without departing from the spirit or scope of the present invention. 

What is claimed is:
 1. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of ILT-3.
 2. The method of claim 1, wherein the T cell dysfunction is T cell exhaustion.
 3. The method of claim 2, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.
 4. The method of claim 1, wherein the modulating agent promotes the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.
 5. The method of claim 1, wherein the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.
 6. The method of claim 1, wherein the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.
 7. The method of claim 6, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.
 8. The method of claim 1, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.
 9. The method of claim 8, wherein the modulating agent comprises an antibody agent.
 10. The method of claim 9, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and
 293623. 11. The method of claim 8, wherein the modulating agent comprises a soluble variant of ILT-3.
 12. The method of claim 11, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).
 13. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of ILT-3 to a subject in need thereof.
 14. The method of claim 13 wherein the condition is cancer or a persistent infection.
 15. The method of claim 13, wherein the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.
 16. The method of claim 13, wherein the modulating agent promotes or activates the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof.
 17. The method of claim 13, wherein the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.
 18. The method of claim 17, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.
 19. The method of claim 13 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.
 20. The method of claim 19, wherein the modulating agent comprises an antibody agent.
 21. The method of claim 20, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and
 293623. 22. The method of claim 19, wherein the modulating agent comprises a soluble variant of ILT-3.
 23. The method of claim 22, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).
 24. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.
 25. The method of claim 24 wherein the sample is from an individual with cancer or a persistent infection.
 26. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein.
 27. The method of claim 26, wherein the T cell dysfunction is T cell exhaustion.
 28. The method of claim 27, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.
 29. The method of claim 26, wherein the modulating agent promotes the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 30. The method of claim 26, wherein the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 31. The method of claim 26, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.
 32. The method of claim 31, wherein the modulating agent comprises an antibody agent.
 33. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein to a subject in need thereof.
 34. The method of claim 33 wherein the condition is cancer or a persistent infection.
 35. The method of claim 33, wherein the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 36. The method of claim 33, wherein the modulating agent promotes or activates the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 37. The method of claim 33 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.
 38. The method of claim 37, wherein the modulating agent comprises an antibody agent.
 39. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of an angiopoetin or angiopoietin-like protein, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.
 40. The method of claim 39, wherein the sample is from an individual with cancer or a persistent infection.
 41. The method of claim 39, wherein the angiopoetin or angiopoetin-like protein is selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.
 42. A method of modulating T cell dysfunction, the method comprising contacting a dysfunctional T cell with a modulating agent or agents that modulate the expression, activity and/or function of CD166.
 43. The method of claim 42, wherein the T cell dysfunction is T cell exhaustion.
 44. The method of claim 43, wherein the modulation of T cell exhaustion comprises a decrease in the exhausted T cell phenotype, such that T cell activation is increased.
 45. The method of claim 42, wherein the modulating agent promotes the expression, activity and/or function of the CD166 gene or gene product or combination thereof.
 46. The method of claim 42, wherein the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.
 47. The method of claim 42, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.
 48. The method of claim 47, wherein the modulating agent comprises an antibody agent.
 49. A method of treating a condition involving or characterized by the presence of T cells exhibiting an exhausted phenotype, the method comprising administering an amount of a modulating agent effective to modulate the expression, activity and/or function CD166 to a subject in need thereof.
 50. The method of claim 49 wherein the condition is cancer or a persistent infection.
 51. The method of claim 49, wherein the modulating agent inhibits the expression, activity and/or function of the CD166 gene or gene product or combination thereof.
 52. The method of claim 49, wherein the modulating agent promotes or activates the expression, activity and/or function of the CD166 gene or gene product or combination thereof.
 53. The method of claim 49 wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.
 54. The method of claim 53, wherein the modulating agent comprises an antibody agent.
 55. A method of determining the presence of T cells exhibiting an exhausted phenotype, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of CD166, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of T cells exhibiting an exhausted phenotype.
 56. The method of claim 55, wherein the sample is from an individual with cancer or a persistent infection.
 57. An isolated immune cell modified to comprise an altered expression or activity of, or modified to comprise an agent capable of inducibly altering expression or activity of ILT-3 and/or CD166.
 58. The isolated immune cell according to claim 57, wherein the immune cell is a T cell, preferably a CD8+ T cell.
 59. The isolated immune cell according to any one of claims 57 to 58, wherein the immune cell displays tumor specificity.
 60. The isolated immune cell according to claim 59, wherein the immune cell has been isolated from a tumor of a subject, preferably wherein the immune cell is a tumor infiltrating lymphocyte.
 61. The isolated immune cell according to claim 59, wherein the immune cell comprises a tumor-specific chimeric antigen receptor (CAR).
 62. The isolated immune cell according to any one of claims 57 to 61, modified to comprise downregulated or abolished expression or activity of ILT-3 and/or CD166.
 63. The isolated immune cell according to claim 62, wherein the endogenous ILT-3 and/or CD166 gene has been modified, whereby the cell comprises downregulated or abolished expression or activity of ILT-3 and/or CD166.
 64. The isolated immune cell according to claim 63, wherein the endogenous ILT-3 and/or CD166 gene has been modified using a nuclease.
 65. The isolated immune cell according to claim 64, wherein the nuclease comprises (i) a DNA-binding portion configured to specifically bind to the endogenous ILT-3 and/or CD166 gene and (ii) a DNA cleavage portion.
 66. The isolated immune cell according to claim 65, wherein the DNA-binding portion comprises: a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof; a Cas protein modified to eliminate its nuclease activity; or a DNA-binding domain of a Cas protein.
 67. The isolated immune cell according to any one of claims 65 to 66, wherein the DNA cleavage portion comprises FokI or variant thereof or DNA cleavage domain of FokI or variant thereof.
 68. The isolated immune cell according to claim 64, wherein the nuclease is an RNA-guided nuclease, such as a Cas protein.
 69. The isolated immune cell according to claim 65, wherein the cell comprises a protein comprising a DNA-binding portion configured to specifically bind to the endogenous ILT-3 and/or CD166 gene.
 70. The isolated immune cell according to claim 69, wherein the protein is a heterologous repressor protein capable of repressing the transcription of the endogenous ILT-3 and/or CD166 gene.
 71. The isolated immune cell according to claim 70, wherein the heterologous repressor protein comprises at least a DNA-binding portion configured to specifically bind to the endogenous ILT-3 and/or CD166 gene, preferably to the endogenous ILT-3 and/or CD166 gene promoter.
 72. The isolated immune cell according to claim 71, wherein the DNA-binding portion comprises: a zinc finger protein or DNA-binding domain thereof, a transcription activator-like effector (TALE) protein or DNA-binding domain thereof, or an RNA-guided protein or DNA-binding domain thereof; a Cas protein modified to eliminate its nuclease activity; or a DNA-binding domain of a Cas protein.
 73. The isolated immune cell according to any one of claims 57 to 72, further modified to comprise: (a) an altered expression or activity of PDPN; (b) an altered expression or activity of PRDM1 and c-MAF; (c) an altered expression or activity of PROCR; (d) an altered expression or activity of any one or more of PD1, CTLA4, TIGIT, TIM3, LAG3, and PDL1; (e) an altered expression or activity of any one or more of TIGIT, LAG3, and KLRC1; (f) an altered expression or activity of any one or more of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7; (g) an altered expression or activity of any one or more of PDPN, PROCR, TIGIT, LAG3, ALCAM and KLRC1; (h) an altered expression or activity of any one or more of BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, and SLAMF7; (i) an agent capable of inducibly altering expression or activity of PDPN; (j) an agent capable of inducibly altering expression or activity of PRDM1 and c-MAF; (k) an agent capable of inducibly altering expression or activity of PROCR; (l) an agent capable of inducibly altering expression or activity of any one or more of PD1, CTLA4, TIGIT, TIM3, LAG3, and PDL1; (m) an agent capable of inducibly altering expression or activity of any one or more of TIGIT, LAG3, and KLRC1; (n) an agent capable of inducibly altering expression or activity of any one or more of CD226, OX-40, GITR, TNFSF9 (4-1BB), KLRC2, KLRE1, KLRK1, IL12RB1, IL1R1, and SLAMF7; (o) an agent capable of inducibly altering expression or activity of any one or more of PDPN, PROCR, TIGIT, LAG3, ALCAM and KLRC1; or (p) an agent capable of inducibly altering expression or activity of any one or more of BTLA, TIGIT, HAVCR2 (TIM-3), LAG3, PDPN, IL10RA, IL1R2, PROCR, KLRC1, KLRC2, KLRE1, TNFSF9 (4-1BB), KLRK1, IL12RB1, IL1R1, or SLAMF7.
 74. A cell population of immune cells as defined in any one of claims 57 to
 73. 75. A method for generating the modified immune cell as defined in any one of claims 57 to 74, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an altered expression or activity of ILT-3 and/or CD166.
 76. A method for generating the modified immune cell as defined in any one of claims 57 to 73, the method comprising (i) providing an isolated immune cell, and (ii) modifying said isolated immune cell such as to comprise an agent capable of inducibly altering expression or activity of ILT-3 and/or CD166.
 77. The method according to any one of claim 75 or 76, wherein the step of providing the isolated immune cell comprises providing the immune cell isolated from a subject, or isolating the immune cell from a subject.
 78. The method according to claim 77, wherein the immune cell isolated from the subject expresses ILT-3 and/or CD166, and wherein the immune cell isolated from the subject is dysfunctional or is not dysfunctional.
 79. The method of any one of claims 75 to 78, further comprising the step of expanding the isolated immune cell prior to and/or subsequent to the modification.
 80. A pharmaceutical composition comprising the isolated immune cell according to any one of claims 57 to 73, or the cell population according to claim
 74. 81. The isolated immune cell according to any one of claims 57 to 73, or the cell population according to claim 74, for use in therapy, wherein therapy comprises immunotherapy or adoptive immunotherapy, preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection.
 82. A method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, comprising administering to said subject the isolated immune cell according to any one of claims 57 to 73, or the cell population according to claim
 74. 83. The method according to claim 82, further comprising administering to said subject one or more other active pharmaceutical ingredient, preferably wherein said one or more other active pharmaceutical ingredient is useful in immunotherapy or adoptive immunotherapy, or wherein said one or more other active pharmaceutical ingredient is useful in the treatment of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, wherein the one or more other active pharmaceutical ingredient is: (a) an agonist of a cell molecule, such as a cell surface molecule, which when activated is capable of upregulating immune response, such as one or more of an agonist of 4-1BB, an agonist of OX40, an agonist of GITR, an agonist of STING, an agonist of TLR, and an agonist of BTLA; and/or (b) an inhibitor of a cell molecule, such as a cell surface molecule, which when not inhibited is capable of downregulating immune response, such as a checkpoint inhibitor, or such as one or more of an antagonist of PD1, an antagonist of CTLA4, an antagonist of BTLA, an antagonist of TIGIT, an antagonist of TIM3, an antagonist of LAG3, an antagonist of VISTA, an antagonist of ILT-3, an antagonist of CD160, an antagonist of CD274, and an antagonist of IDO.
 84. The method according to any one of claims 82 to 83, wherein the subject has been determined to comprise immune cells which express PDPN, PROCR, and/or PRDM1 and c-MAF.
 85. A method of treating a subject in need thereof, preferably a subject in need of immunotherapy or adoptive immunotherapy, more preferably immunotherapy or adoptive immunotherapy of a proliferative disease, such as a tumor or cancer, or a chronic infection, such as a chronic viral infection, comprising: (a) providing an isolated immune cell from the subject, or isolating an immune cell from a subject; (b) modifying said isolated immune cell such as to comprise an altered expression or activity of ILT-3 and/or CD166, or modifying said isolated immune cell such as to comprise an agent capable of inducibly altering expression or activity of ILT-3 and/or CD166; and (c) reintroducing the modified isolated immune cell to the subject.
 86. The method of claim 85, further comprising the step of expanding the isolated immune cell prior to and/or subsequent to the modification, and before reintroduction to the subject.
 87. A method of modulating Th17 T cell balance, the method comprising contacting a CD4 T cell with a modulating agent or agents that modulate the expression, activity and/or function of ILT-3.
 88. The method of claim 87, wherein the CD4 T cell is a Th17 T cell or naïve T cell.
 89. The method of claim 87 or 88, wherein the modulating Th17 T cell balance comprises a decrease in the Th17 T cell phenotype.
 90. The method of claim 87 or 88, wherein the modulating Th17 T cell balance comprises an increase in the Th17 T cell pathogenic phenotype.
 91. The method of claim 90, wherein the modulating agent promotes the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof, whereby Th17 T cells are shifted to a pathogenic Th17 phenotype.
 92. The method of claim 89, wherein the modulating agent inhibits the expression, activity and/or function of the ILT-3 gene or gene product or combination thereof, whereby Th17 T cells are shifted away from a Th17 phenotype.
 93. The method of claim 92, wherein Th17 T cells are shifted to a Treg phenotype.
 94. The method of claim 87, wherein the modulating agent inhibits binding of ILT-3 to one or more ILT-3 ligands.
 95. The method of claim 94, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.
 96. The method of claim 87, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.
 97. The method of claim 96, wherein the modulating agent comprises an antibody agent.
 98. The method of claim 97, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and
 293623. 99. The method of claim 96, wherein the modulating agent comprises a soluble variant of ILT-3.
 100. The method of claim 99, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).
 101. A method of treating an autoimmune disease comprising administering an amount of a modulating agent effective to decrease the expression, activity and/or function of ILT-3 to a subject in need thereof.
 102. The method of claim 101, wherein the autoimmune disease is multiple sclerosis (MS).
 103. A method of treating cancer or a chronic infection comprising administering an amount of a modulating agent effective to increase the expression, activity and/or function of ILT-3 to a subject in need thereof.
 104. The method of claim 103, wherein the modulating agent effective to increase the activity and/or function of ILT-3 comprises one or more ILT-3 ligands.
 105. The method of claim 101, wherein the modulating agent effective to decrease the activity and/or function of ILT-3 inhibits binding of ILT-3 to one or more ILT-3 ligands.
 106. The method of claim 104 or 105, wherein the one or more ILT-3 ligands is selected from integrin αvβ3, CD166, ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8.
 107. The method of any of claims 101 to 103, wherein the agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, or a small molecule agent.
 108. The method of claim 107, wherein the modulating agent comprises an antibody agent.
 109. The method of claim 108, wherein the antibody agent comprises a variable region selected from the variable regions of ZM3.8, ZM4.1, 293622, and
 293623. 110. The method of claim 107, wherein the modulating agent comprises a soluble variant of ILT-3.
 111. The method of claim 110, wherein the soluble variant of ILT-3 comprises a polypeptide encoded by NM_001278430 (SEQ ID NO: 74).
 112. A method of determining the presence of pathogenic Th17 T cells, the method comprising detecting, in a sample comprising T cells, a level of expression, activity and/or function of ILT-3, and comparing the detected level to a reference, wherein a difference in the detected level relative to the reference indicates the presence of pathogenic Th17 T cells.
 113. The method of claim 112, wherein the sample is from an individual with cancer, a chronic infection, or an autoimmune disease.
 114. A method of modulating Th17 T cell balance, the method comprising contacting a CD4 T cell with a modulating agent or agents that modulate the expression, activity and/or function of an angiopoetin or angiopoietin-like protein.
 115. The method of claim 114, wherein the modulating agent promotes the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 116. The method of claim 114, wherein the modulating agent inhibits the expression, activity and/or function of one or more genes selected from ANGPT1, ANGPT2, ANGPT3, ANGPT4, ANGPTL1, ANGPTL2, ANGPTL3, ANGPTL4, ANGPTL5, ANGPTL6, ANGPTL7, and ANGPTL8 or gene products thereof or combinations thereof.
 117. The method of any of claims 114 to 116, wherein the modulating agent comprises a peptide agent, polypeptide agent, a soluble variant of a membrane-associated polypeptide, antibody agent, a nucleic acid agent, a nucleic acid ligand, a nuclease agent, or a small molecule agent.
 118. The method of claim 117, wherein the modulating agent comprises an antibody agent. 